According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.
Described are systems and methods for generating a debiased training dataset and training one or more stages of a multi-stage recommendation system and/or service using the debiased training dataset. Rather than generating training datasets from the output data generated by the multi-stage recommendation system and/or data served by later stages of the multi-stage recommendation system, debiased training datasets may be generated from data that was served by the particular stage of the multi-stage recommendation system that is to be trained using the generated debiased training dataset. The debiased training dataset may be generated by generating pseudo-labels for each data record and comparing the generated pseudo-labels against two thresholds to generate a binary classification of the data records.
Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.
Systems and methods for determining one or more topics that may be associated and/or grounded with a node of a taxonomy to facilitate the creation and/or modification of the taxonomy. The one or more topics can be determined by generating two layers of associations and/or groundings. In a first layer, tokens can be associated and/or grounded in a corpus of queries, and in a second layer, topics can be associated and/or grounded in the tokens. The topics can then be associated with and/or grounded in nodes of a taxonomy which can facilitate access to content items stored and maintained by an online service. Further, in exemplary implementations where the content items include associations and/or mappings to the corpus of queries, the nodes of the taxonomy (which are associated with one or more topics) can be transitively mapped to the content items.
Described are systems and methods that suggest candidate recipients to receive an object identifier from a first user. For example, a first user, independent of a conversation with a second user, may select, close-up, or otherwise view an object identifier. The system, upon detecting the interaction with the object identifier by the first user, may determine one or more second users to suggest to the first user as candidate recipients with which the first user can share the viewed object identifier. The systems and methods may also suggest object identifiers to share with a selected recipient and/or determine two or more users that have a common connection and share an object identifier related to the connection with each of those users.
Described are systems and methods for generating recommendation campaigns that optimize for both a desired short-term user behavior and a desired long-term user behavior. In comparison to existing techniques that focus on targeting advertisements or recommendations to specific individuals with a single goal of receiving an interaction with the advertisement from that individual (i.e., a desired short-term behavior), the disclosed implementations consider the long-term user behavior, such as increased visits to a website during a long-term rage, and generate a recommendation campaign that also optimizes for that desired long-term user behavior.
Described are systems and methods for determining and/or generating a queue of content items to improve the playback experience of the content items for a user. The content items may be obtained by a client device from an online service in response to a query, a request for content items, etc. Relevance rankings and/or scores associated with the content items may be replaced and/or augmented with a playability score, which can represent a quality of the playback experience associated with the content item. The playability score may be aggregated with the relevance and/or user engagement score to determine an overall playback score for each content item. The content items may be ranked, ordered, arranged, and/or presented in accordance with the overall playback scores associated with the content items to facilitate an improved playback experience for a user associated with the client device.
H04N 21/232 - Content retrieval operation within server, e.g. reading video streams from disk arrays
H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.
Described are systems and methods for generating recommendation campaigns that optimize for both a desired short-term user behavior and a desired long-term user behavior. In comparison to existing techniques that focus on targeting advertisements or recommendations to specific individuals with a single goal of receiving an interaction with the advertisement from that individual (i.e., a desired short-term behavior), the disclosed implementations consider the long-term user behavior, such as increased visits to a website during a long-term rage, and generate a recommendation campaign that also optimizes for that desired long-term user behavior.
Systems and methods for generating embeddings for nodes of a corpus graph are presented. More particularly, operations for generation of an aggregated embedding vector for a target node is efficiently divided among operations on a central processing unit and operations on a graphic processing unit. With regard to a target node within a corpus graph, processing by one or more central processing units (CPUs) is conducted to identify the target node's relevant neighborhood (of nodes) within the corpus graph. This information is prepared and passed to one or more graphic processing units (GPUs) that determines the aggregated embedding vector for the target node according to data of the relevant neighborhood of the target node.
G06F 16/9535 - Search customisation based on user profiles and personalisation
G06F 16/9536 - Search customisation based on social or collaborative filtering
G06F 18/211 - Selection of the most significant subset of features
G06F 18/214 - Generating training patterns; Bootstrap methods, e.g. bagging or boosting
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
G06N 3/04 - Architecture, e.g. interconnection topology
Systems and methods for generating user notifications to a set of users of a social networking service is presented. For each user of a set of users of the social networking service, one or more machine learning models selects an optimal notification channel, an optimal notification template, and optimal personalization content for configurable elements of a selected notification template. Each of these determinations/selections is made according to and based on a likelihood of increased user engagement with the social networking service. Upon determining the notification channel, notification template, and personalizations to the template, the notification is generated and sent to the corresponding user.
Systems and methods for responding to a subscriber's text-based request for content items are presented. In response to a request from a subscriber, word pieces are generated from the text-based terms of the request. A request embedding vector of the word pieces is obtained from a trained machine learning model. Using the request embedding vector, a set of content items, from a corpus of content items, is identified. At least some content items of the set of content items are returned to the subscriber in response to the text-based request for content items.
G06F 16/483 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.
Systems and methods for determining whether a linked content page may include spamming, malicious, and/or otherwise undesirable content. The linked content page may be crawled, scraped, and/or parsed to extract various information associated with the text, media items, and/or structure of the linked content page. The text, media, and/or structure information may be analyzed and processed to generate one or more textual features, media features, and/or structural features, which may then be processed by a trained machine learning model to determine whether the content page includes spamming, malicious, and/or otherwise undesirable content.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content. One of the methods includes providing a plurality of image content items to an application interface of a client device for presentation; receiving a user selection of a particular image content item of the plurality of presented image content items; and responsive to the selection, providing a combination of native content and third party content associated with the selected image content item, wherein the native content includes a close up view of the selected image content item and the third party content includes a third party webpage.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
Systems and methods for determining one or more topics that may be associated and/or grounded with a node of a taxonomy to facilitate the creation and/or modification of the taxonomy. The one or more topics can be determined by generating two layers of associations and/or groundings. In a first layer, tokens can be associated and/or grounded in a corpus of queries, and in a second layer, topics can be associated and/or grounded in the tokens. The topics can then be associated with and/or grounded in nodes of a taxonomy which can facilitate access to content items stored and maintained by an online service. Further, in exemplary implementations where the content items include associations and/or mappings to the corpus of queries, the nodes of the taxonomy (which are associated with one or more topics) can be transitively mapped to the content items.
Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
This disclosure describes systems and methods that facilitate the generation of recommendations by traversing a graph. Walks that traverse the graph may be initiated from a plurality of different nodes in the node graph. In order to give greater or lesser weight to particular nodes, the walks may have different lengths depending on the nodes from which they are initiated, or an unequal amount of walks may be distributed between nodes from which walks are initiated. A plurality of walks through a node graph may be tracked, and visit counts or scores for nodes in the node graph may be determined. For example, scores may be increased for nodes that are visited by a walk initiated from a first node and a second walk initiated from a second node, or scores may be decreased for nodes that are not visited by a first walk initiated from a first node and a second walk initiated from a second node. Content corresponding to nodes may be recommended based on the scores or visit counts.
Methods, systems, and apparatus, including computer programs encoded on computer storage media for receiving a set of images at a social media system, wherein each image includes one or more recognized features associated with one or more lightness values; indexing each image using the one or more recognized features and the associated range of lightness values; receiving a query; determining a first group of images that is responsive to the query; determining that the query triggers a lightness filter to be displayed on the user device; providing the first group of images for display on a user interface with one or more lightness filter indicators; and in response to a user selection of one of the one or more lightness filter indicators: filtering the first group of images to determine a filtered group of images, and updating the images provided for display according to the filtered group of images.
Described are systems and methods for determining and/or generating a queue of content items to improve the playback experience of the content items for a user. The content items may be obtained, for example, by a client device from an online service in response to a query, a request for content items, and the like. Relevance rankings and/or scores associated with the content items may be replaced and/or augmented with a playability score, which can represent a quality of the playback experience associated with each content item. The playability score for each content item may be aggregated with the relevance and/or user engagement score associated with each content item to determine an overall playback score for each content item. The content items may be ranked, ordered, arranged, and/or presented in accordance with the overall playback scores associated with the content items to facilitate an improved playback experience for a user associated with the client device.
H04N 21/232 - Content retrieval operation within server, e.g. reading video streams from disk arrays
H04N 21/2387 - Stream processing in response to a playback request from an end-user, e.g. for trick-play
H04N 21/25 - Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication or learning user preferences for recommending movies
H04N 21/472 - End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification or for manipulating displayed content
Disclosed are implementations that enable the linking or connection of objects and different scenes in which those objects are represented. For example, a corpus of scenes (e.g., digital images) that include a representation of one or more objects may be processed using the disclosed implementations to segment from those scenes the individual objects represented in those scenes. The disclosed implementations may further determine clusters of visually similar object segments and form object clusters for those object segments. The scenes that include those object segments are also linked to the object cluster. With scenes linked to different object clusters, a user may select one or more query objects or a query scene and be presented with other scenes that include visually similar objects, even though the overall scenes may be visually different.
A user preference hierarchy is determined from user response to images. Images may be tagged using machine learning models trained to determine values for images. Products are clustered according to product vectors. Images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. Feedback is used to train a user preference model to estimate affinity for a product vector. A user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. The distribution may be asymmetrical according to direction of movement of the price point. Filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.
Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.
Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.
Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.
This disclosure describes systems and methods for establishing promotions for sellers and promoting images of items to users on behalf of sellers. A management service receives a source location identifier from a seller, processes images stored in an image data store to determine images that include the source location identifier in the corresponding image information and includes those images in a promotion that is established for the seller. Likewise, the management service may determine users that have previously interacted with the images and include those users in the promotion campaign.
Methods, systems and apparatus, including computer programs encoded on computer storage media for receiving a set of images at a social media system, wherein each image includes one or more recognized features associated with one or more lightness values; indexing each image using the one or more recognized features and the associated range of lightness values; receiving a query; determining a first group of images that is responsive to the query; determining that the query triggers a lightness filter to be displayed on the user device; providing the first group of images for display on a user interface with one or more lightness filter indicators; and in response to a user selection of one of the one or more lightness filter indicators: filtering the first group of images to determine a filtered group of images, and updating the images provided for display according to the filtered group of images.
This disclosure describes systems and methods that facilitate the generation of recommendations by traversing a graph. Walks that traverse the graph may be initiated from a plurality of different nodes in the node graph. In order to give greater or lesser weight to particular nodes, the walks may have different lengths depending on the nodes from which they are initiated, or an unequal amount of walks may be distributed between nodes from which walks are initiated. A plurality of walks through a node graph may be tracked, and visit counts or scores for nodes in the node graph may be determined. For example, scores may be increased for nodes that are visited by a walk initiated from a first node and a second walk initiated from a second node, or scores may be decreased for nodes that are not visited by a first walk initiated from a first node and a second walk initiated from a second node. Content corresponding to nodes may be recommended based on the scores or visit counts.
G06F 7/00 - Methods or arrangements for processing data by operating upon the order or content of the data handled
G06F 16/901 - Indexing; Data structures therefor; Storage structures
G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
G06F 16/2457 - Query processing with adaptation to user needs
G06F 16/435 - Filtering based on additional data, e.g. user or group profiles
G06F 16/487 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
29.
Methods of and systems for searching by incorporating user-entered information
A system for and a method of using user-entered information to return more meaningful information in response to Internet search queries are disclosed. A method in accordance with the disclosed subject matter comprises managing a database in response to multiple user inputs and displaying search results from the database in response to a search query. The search results include a results list and supplemental data related to the search query. Managing the database includes, among other things, re-ranking elements in the results list, storing information related to relevancies of elements in the results list, blocking a link in the results list, storing links to documents related to the search query, or any combination of these. The supplemental data include descriptions of or indices to one or more concepts related to the search query.
Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.
Described are systems and methods to determine advertisements to be presented to a user. To determine the advertisements to be presented to the user, the described systems and methods utilize localized contextual information to select the advertisements and the relative positioning of the advertisements to be presented, so as to select and present more relevant advertisements based on the content that is surrounding and proximate to the presentation of the selected advertisements.
Described are systems and methods for providing a sequential trained machine learning model that may be configured to generate a user embedding that is representative of the user and is configured to predict a plurality of the user's actions over a period of time. The exemplary sequential trained machine learning model may be employed, for example, in connection with recommendation, search, and/or other services. Exemplary embodiments of the present disclosure may also employ the user embeddings generated by the exemplary sequential trained machine learning model in connection with one or more conditional retrieval systems that may include an end-to-end learned model, which are configured to generate updated user embeddings based on the user embeddings generated by the exemplary sequential trained machine learning model and certain contextual information.
Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.
G06F 16/56 - Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
G06F 16/58 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Described are systems and methods for providing a multi-tasked trained machine learning model that may be configured to generate product embeddings from multiple types of product information. The exemplary product embeddings may be generated for a corpus of products (e.g., products included in a product catalog, etc.) based on both image information and text information associated with each respective product. Accordingly, the generated product embeddings may be compatible with learned representations of the different types of product information (e.g., image information, text information, etc.) and may be used to create a product index, which can be used to determine and serve product recommendations in connection with multiple different recommendation services that may be configured to receive different types of inputs (e.g., a single image, multiple images, text-based information, etc.).
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content. One of the methods includes receiving a target image at an image platform; determining one or more images related to the target image; determining queries associated with the related images; deriving candidate keywords from the determined queries; filtering the candidate keywords to select one or more keywords; and providing the image to one or more users in response to respective incoming queries based on the one or more keywords.
G06F 16/00 - Information retrieval; Database structures therefor; File system structures therefor
G06F 16/58 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.
G06F 18/22 - Matching criteria, e.g. proximity measures
G06F 3/04812 - Interaction techniques based on cursor appearance or behaviour, e.g. being affected by the presence of displayed objects
G06F 3/04842 - Selection of displayed objects or displayed text elements
G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
Described are systems and methods to extract image segments from an image and include those extracted image segments in a collage. The origin information, such as the source image, source image location, etc., from which the extracted image segment is generated is maintained as metadata so that interaction with the extracted image segment on the collage can be used to determine and/or return to the origin of the extracted image segment. Collages may be updated, shared, adjusted, etc., by the creator of the collage or other users.
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
G06Q 30/06 - Buying, selling or leasing transactions
Described are systems and methods to extract image segments from an image and include those extracted image segments in a collage. The origin information, such as the source image, source image location, etc., from which the extracted image segment is generated is maintained as metadata so that interaction with the extracted image segment on the collage can be used to determine and/or return to the origin of the extracted image segment. Collages may be updated, shared, adjusted, etc., by the creator of the collage or other users.
Systems and methods for responding to a subscriber's text-based request for content items are presented. In response to a request from a subscriber, word pieces are generated from the text-based terms of the request. A request embedding vector of the word pieces is obtained from a trained machine learning model. Using the request embedding vector, a set of content items, from a corpus of content items, is identified. At least some content items of the set of content items are returned to the subscriber in response to the text-based request for content items.
G06F 16/00 - Information retrieval; Database structures therefor; File system structures therefor
G06F 16/483 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Systems and methods for identifying content for an input query are presented. A mapping model is trained to map elements of an input query embedding vector for a received query into one or more elements of a destination embedding vector. In response to receiving an input query, an input query embedding vector is generated that projects into an input query embedding space. The input query embedding vector is processed by the mapping model to map the input query embedding vector into one or more elements of a destination embedding vector in a destination embedding space, resulting in a partial destination embedding vector. Items of a corpus of content are projected into the destination embedding space and the partial destination embedding vector is also projected into the destination embedding space. A similarity measure determines the most-similar items to the partial destination embedding vector and at least some of the most-similar items are returned in response to the input query.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Computer software, namely, software that allows users to
interact online with information and media content that
other users share, and software that allows users to
discover, access and share information about, and media
content concerning, goods, services, and experiences;
computer software and software applications that enable
electronic communications network users to create, upload,
bookmark, view, annotate, and share data, information and
media content; software, downloadable or prerecorded, in the
nature of a mobile application that enables electronic
communications network users to create, upload, bookmark,
view, annotate, share and discover data, information and
media content; software downloadable via electronic
communications networks and wireless devices that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content; software to facilitate
business promotion, connecting social network users with
businesses; downloadable electronic publications in the
nature of blogs, photographs, and graphic art in the field
of general human interest; computer e-commerce software to
allow users to perform electronic business transactions via
a global computer network; software applications that enable
electronic communications network users to create, upload,
bookmark, view, annotate, and share data, information and
media content; software, downloadable or prerecorded, in the
nature of a mobile application that enables electronic
communications network users to create, upload, bookmark,
view, annotate, share and discover data, information and
media content; software downloadable via electronic
communications networks and wireless devices that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content. Advertising and promotional services; advertising and
marketing services, namely, promoting the products and
services of others; business data analysis; business
monitoring and consulting services, namely, data and
behavior analysis to provide strategy, insight, and
marketing guidance, and for analyzing, understanding and
predicting behavior and motivations, and market trends;
promoting the goods and services of others by means of
operating an online platform with hyperlinks to the
resources of others; providing consumer product information
relating to consumer, business, and industrial goods of
others via an online searchable database; electronic
commerce services, namely, providing information about
products via telecommunication networks for advertising and
sales purposes. Electronic bulletin board services. Providing a platform featuring technology that enables
internet users to create, upload, bookmark, view, annotate,
share and discover data, information and multimedia content;
computer services, namely, creating an online community for
registered users to participate in discussions, get feedback
from their peers, form virtual communities, and engage in
social networking services in the field of general interest;
providing online non-downloadable software that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content via a website; providing a
platform featuring non-downloadable software that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content; hosting an interactive
platform and online non-downloadable software for uploading,
posting, showing, displaying, tagging, sharing and
transmitting messages, comments, multimedia content, photos,
pictures, images, text, information, and other
user-generated content; developing and hosting a server on a
global computer network for the purpose of facilitating
e-commerce via such a server; platform and facility for
mobile device communication, namely, providing
non-downloadable software that facilitates sharing and
discovering information and media content via mobile
devices; platform and facility for networked communications,
namely, providing non-downloadable software that facilitates
sharing and discovering information and media content via
local and global computer, mobile, cellular, electronic,
wireless, and data communications networks. Providing online social networking services for purposes of
commentary, comparison, collaboration, consultation,
evaluation, advice, discussion, research, notification,
reporting, identification, information sharing, indexing,
information location, entertainment, pleasure, or general
interest.
42.
Efficient deserialization from standardized data files
Systems and methods for de-serializing one or more data elements of a serialized structured data record are presented. In response to a request to de-serialize one or more data elements of a serialized structured data record of a first type, the location of the serialized structured data record is determined within a data file containing a plurality of serialized structured data records. Locations of the data of the one or more data elements are determined and the data of the one or more data elements is retrieved. The data is de-serialized and stored in corresponding data elements in an instantiated structured data record of the first type. The one or more data elements that are de-serialized are fewer than all of the data elements of the serialized structured data record.
This disclosure describes systems and methods that facilitate purchase of objects from merchants. For example, a user may browse a website available from an object management service and identify objects that they desire to purchase. Rather than having to locate the seller of those objects to make a purchase, the implementations described herein facilitate a connection between the user and the merchant so that the merchant's sales are increased and the user is provided an efficient and safe shopping experience.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Computer software, namely, software that allows users to
interact online with information and media content that
other users share, and software that allows users to
discover, access and share information about, and media
content concerning, goods, services, and experiences;
computer software and software applications that enable
electronic communications network users to create, upload,
bookmark, view, annotate, and share data, information and
media content; software, downloadable or prerecorded, in the
nature of a mobile application that enables electronic
communications network users to create, upload, bookmark,
view, annotate, share and discover data, information and
media content; software downloadable via electronic
communications networks and wireless devices that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content; software to facilitate
business promotion, connecting social network users with
businesses; downloadable electronic publications in the
nature of blogs, photographs, and graphic art in the field
of general human interest; computer e-commerce software to
allow users to perform electronic business transactions via
a global computer network; software applications that enable
electronic communications network users to create, upload,
bookmark, view, annotate, and share data, information and
media content; software, downloadable or prerecorded, in the
nature of a mobile application that enables electronic
communications network users to create, upload, bookmark,
view, annotate, share and discover data, information and
media content; software downloadable via electronic
communications networks and wireless devices that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content. Advertising and promotional services; advertising and
marketing services, namely, promoting the products and
services of others; business data analysis; business
monitoring and consulting services, namely, data and
behavior analysis to provide strategy, insight, and
marketing guidance, and for analyzing, understanding and
predicting behavior and motivations, and market trends;
promoting the goods and services of others by means of
operating an online platform with hyperlinks to the
resources of others; providing consumer product information
relating to consumer, business, and industrial goods of
others via an online searchable database; electronic
commerce services, namely, providing information about
products via telecommunication networks for advertising and
sales purposes. Electronic bulletin board services. Providing a platform featuring technology that enables
internet users to create, upload, bookmark, view, annotate,
share and discover data, information and multimedia content;
computer services, namely, creating an online community for
registered users to participate in discussions, get feedback
from their peers, form virtual communities, and engage in
social networking services in the field of general interest;
providing online non-downloadable software that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content via a website; providing a
platform featuring non-downloadable software that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content; hosting an interactive
platform and online non-downloadable software for uploading,
posting, showing, displaying, tagging, sharing and
transmitting messages, comments, multimedia content, photos,
pictures, images, text, information, and other
user-generated content; developing and hosting a server on a
global computer network for the purpose of facilitating
e-commerce via such a server; platform and facility for
mobile device communication, namely, providing
non-downloadable software that facilitates sharing and
discovering information and media content via mobile
devices; platform and facility for networked communications,
namely, providing non-downloadable software that facilitates
sharing and discovering information and media content via
local and global computer, mobile, cellular, electronic,
wireless, and data communications networks. Providing online social networking services for purposes of
commentary, comparison, collaboration, consultation,
evaluation, advice, discussion, research, notification,
reporting, identification, information sharing, indexing,
information location, entertainment, pleasure, or general
interest.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Computer software, namely, software that allows users to
interact online with information and media content that
other users share, and software that allows users to
discover, access and share information about, and media
content concerning, goods, services, and experiences;
computer software and software applications that enable
electronic communications network users to create, upload,
bookmark, view, annotate, and share data, information and
media content; software, downloadable or prerecorded, in the
nature of a mobile application that enables electronic
communications network users to create, upload, bookmark,
view, annotate, share and discover data, information and
media content; software downloadable via electronic
communications networks and wireless devices that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content; software to facilitate
business promotion, connecting social network users with
businesses; downloadable electronic publications in the
nature of blogs, photographs, and graphic art in the field
of general human interest; computer e-commerce software to
allow users to perform electronic business transactions via
a global computer network. Advertising and promotional services; advertising and
marketing services, namely, promoting the products and
services of others; business data analysis; business
monitoring and consulting services, namely, data and
behavior analysis to provide strategy, insight, and
marketing guidance, and for analyzing, understanding and
predicting behavior and motivations, and market trends;
promoting the goods and services of others by means of
operating an online platform with hyperlinks to the
resources of others; providing consumer product information
relating to consumer, business, and industrial goods of
others via an online searchable database; electronic
commerce services, namely, providing information about
products via telecommunication networks for advertising and
sales purposes. Electronic bulletin board services. Providing a platform featuring technology that enables
internet users to create, upload, bookmark, view, annotate,
share and discover data, information and multimedia content;
computer services, namely, creating an online community for
registered users to participate in discussions, get feedback
from their peers, form virtual communities, and engage in
social networking services in the field of general interest;
providing online non-downloadable software that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content via a website; providing a
platform featuring non-downloadable software that enables
electronic communications network users to create, upload,
bookmark, view, annotate, share and discover data,
information and media content; hosting an interactive
platform and online non-downloadable software for uploading,
posting, showing, displaying, tagging, sharing and
transmitting messages, comments, multimedia content, photos,
pictures, images, text, information, and other
user-generated content; developing and hosting a server on a
global computer network for the purpose of facilitating
e-commerce via such a server; platform and facility for
mobile device communication, namely, providing
non-downloadable software that facilitates sharing and
discovering information and media content via mobile
devices; platform and facility for networked communications,
namely, providing non-downloadable software that facilitates
sharing and discovering information and media content via
local and global computer, mobile, cellular, electronic,
wireless, and data communications networks. Providing online social networking services for purposes of
commentary, comparison, collaboration, consultation,
evaluation, advice, discussion, research, notification,
reporting, identification, information sharing, indexing,
information location, entertainment, pleasure, or general
interest.
Disclosed are systems and methods that authenticate non-fungible tokens (“NFT”) and/or digital data represented by or pointed to by an NFT. In some implementations, authentication may be with respect to an existing NFT. In other implementations, authentication may be with respect to an NFT that is being created. The disclosed implementations may compare a candidate and/or candidate NFT data with existing NFTs and/or existing NFT data to determine if the candidate NFT and/or candidate NFT data is similar to other NFTs and/or other NFT data of another NFT, which may exist on any of many different blockchains.
H04L 9/32 - Arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system
G06F 18/214 - Generating training patterns; Bootstrap methods, e.g. bagging or boosting
H04L 9/00 - Arrangements for secret or secure communications; Network security protocols
H04L 9/06 - Arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
Disclosed are systems and methods that authenticate non-fungible tokens ("NFT") and/or digital data represented by or pointed to by an NFT. In some implementations, authentication may be with respect to an existing NFT. In other implementations, authentication may be with respect to an NFT that is being created. The disclosed implementations may compare a candidate and/or candidate NFT data with existing NFTs and/or existing NFT data to determine if the candidate NFT and/or candidate NFT data is similar to other NFTs and/or other NFT data of another NFT, which may exist on any of many different blockchains.
Systems and methods for identifying content for an input query are presented. A mapping model is trained to map elements of an input query embedding vector for a received query into one or more elements of a destination embedding vector. In response to receiving an input query, an input query embedding vector is generated that projects into an input query embedding space. The input query embedding vector is processed by the mapping model to map the input query embedding vector into one or more elements of a destination embedding vector in a destination embedding space, resulting in a partial destination embedding vector. Items of a corpus of content are projected into the destination embedding space and the partial destination embedding vector is also projected into the destination embedding space. A similarity measure determines the most-similar items to the partial destination embedding vector and at least some of the most-similar items are returned in response to the input query.
Systems and methods are presented for adding system-identified content to a user's content space based on information identified from the user's email account. In operation, after obtaining user authorization to access email items of an email account, the email items are iteratively processed. In processing each of the email items, one or more topics of a currently processed email item are identified. Based on the identified topics and user preferences, one or more content items may be identified for addition to the user's online content space. Additionally, the information identified from processing the one or more email items is used to update the user's preferences.
This disclosure describes systems and methods for matching user provided images that include representations of items with sellers of those items. A management service, as described herein, may provide a web site where users can post images, view images, share images, correspond with other users, etc. The management service may identify items represented in the images and determine one or more sellers that offer those items for sale. When another user requests to view the user provided image, the image, seller information identifying the seller determined to sell the item represented in the image, and/or a purchase control that may be selected by a user to initiate a purchase with the seller is presented.
Systems and methods for responding to a subscriber's text-based request for content items are presented. In response to a request from a subscriber, word pieces are generated from the text-based terms of the request. A request embedding vector of the word pieces is obtained from a trained machine learning model. Using the request embedding vector, a set of content items, from a corpus of content items, is identified. At least some content items of the set of content items are returned to the subscriber in response to the text-based request for content items.
G06F 16/00 - Information retrieval; Database structures therefor; File system structures therefor
G06F 16/483 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
Systems and methods for predictively identifying content sources as likely activity subscribers to an online service is presented. In view of a corpus of activity data describing activity of users of an online service, an analysis of this corpus of activity data is carried out to identify one or more content sources that are not activity subscribers but whose content is posted on the online service. A machine learning model is employed to predictively identify at least some content sources that are not activity subscribers of the online service that could likely become activity subscribers. A first content source of the one or more content sources is identified as a likely potential activity subscriber according to the trained machine learning model and the first content source is notified with information for becoming an activity subscriber.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
(1) Computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; computer software and software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software to facilitate business promotion, connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art in the field of general human interest; computer e-commerce software to allow users to perform electronic business transactions via a global computer network. (1) Advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, data and behavior analysis to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the resources of others; providing consumer product information relating to consumer, business, and industrial goods of others via an online searchable database; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes.
(2) Electronic bulletin board services.
(3) Providing a platform featuring technology that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of general interest; providing online non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content via a website; providing a platform featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform and facility for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform and facility for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks.
(4) Providing online social networking services for purposes of commentary, comparison, collaboration, consultation, evaluation, advice, discussion, research, notification, reporting, identification, information sharing, indexing, information location, entertainment, pleasure, or general interest.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
(1) Computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; computer software and software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software to facilitate business promotion, connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art in the field of general human interest; computer e-commerce software to allow users to perform electronic business transactions via a global computer network
(2) Software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content (1) Providing consumer product information relating to consumer, business, and industrial goods of others via an online searchable database
(2) Providing online non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content via a website
(3) Advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, data and behavior analysis to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the resources of others; providing an online searchable database featuring a wide variety of consumer, business, and industrial goods of others; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes
(4) Electronic bulletin board services
(5) Providing a platform featuring technology that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of general interest; providing a website featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; providing a platform featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform and facility for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform and facility for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks
(6) Providing online social networking services for purposes of commentary, comparison, collaboration, consultation, evaluation, advice, discussion, research, notification, reporting, identification, information sharing, indexing, information location, entertainment, pleasure, or general interest
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
(1) Computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; computer software and software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software to facilitate business promotion, connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art in the field of general human interest; computer e-commerce software to allow users to perform electronic business transactions via a global computer network; software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content.
(2) Computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; computer software and software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software to facilitate business promotion, connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art in the field of general human interest; computer e-commerce software to allow users to perform electronic business transactions via a global computer network
(3) Software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable or prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content (1) Advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, data and behavior analysis to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the resources of others; providing consumer product information relating to consumer, business, and industrial goods of others via an online searchable database; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes.
(2) Providing a platform featuring technology that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of general interest; providing online non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content via a website; providing a platform featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform and facility for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform and facility for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks.
(3) Advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, data and behavior analysis to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the resources of others; providing an online searchable database featuring a wide variety of consumer, business, and industrial goods of others; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes
(4) Electronic bulletin board services
(5) Providing a platform featuring technology that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of general interest; providing a website featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; providing a platform featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform and facility for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform and facility for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks
(6) Providing online social networking services for purposes of commentary, comparison, collaboration, consultation, evaluation, advice, discussion, research, notification, reporting, identification, information sharing, indexing, information location, entertainment, pleasure, or general interest
Systems and methods for recommending content to an online service subscriber are presented. For each subscriber, content items that were the subject of the subscriber's prior interactions are projected, via associated embedding vectors, into a content item embedding space. The content items, via their projections into the content item embedding space, are clustered to form a plurality of interest clusters for the subscriber. A representative embedding vector is determined for each interest cluster, and a plurality of these embedding vectors are stored as the representative embedding vectors for the subscriber. The online service, in response to a request for recommended content for a subscriber, selects a first representative embedding vector associated with the subscriber and identifies a new content item from a corpus of content items according to a similarity measure between the first representative embedding vector and an embedding vector associated with the new content item.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content. One of the methods includes providing a plurality of image content items to an application interface of a client device for presentation; receiving a user selection of a particular image content item of the plurality of presented image content items; and responsive to the selection, providing a combination of native content and third party content associated with the selected image content item, wherein the native content includes a close up view of the selected image content item and the third party content includes a third party webpage.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
Described are systems and methods for determining a diversity function in connection with potential advertisements in determining one or more advertisements to present to a user. This can facilitate presenting diverse advertisements to users. The diversity function can yield a diversity penalty for each potential advertisement to be able to determine a rank order of the potential advertisements. The diversity function can include a repetition score and a multiplier for each potential advertisement.
This disclosure describes systems and methods that facilitate purchase of objects from merchants. For example, a user may browse a website available from an object management service and identify objects that they desire to purchase. Rather than having to locate the seller of those objects to make a purchase, the implementations described herein facilitate a connection between the user and the merchant so that the merchant's sales are increased and the user is provided an efficient and safe shopping experience.
This application describes a system and process for providing object identifiers relating to real world objects to users based on the location of the user and the anticipated interested of the user in an object within a defined distance of the user. For example, if the user is within a retail store, a portable device associated with the user may detect or receive a beacon transmitted from a location within the retail store and object identifiers representative of objects within the store may be generated and provided to the user. In some implementations, only object identifier representative of items determined to be of likely interest to the user may be provided for presentation to the user.
Disclosed are systems and methods for autonomously extracting attributes from domains of a vertical. The disclosed implementations train a deep neural network (“DNN”) based on one or more domains of a vertical using labeled embedding vectors generated for nodes of those one or more domains. The trained DNN may then be used to autonomously label nodes of other domains within the same vertical such that attributes corresponding to those labels can be extracted.
Disclosed are implementations that enable the linking or connection of objects and different scenes in which those objects are represented. For example, a corpus of scenes (e.g., digital images) that include a representation of one or more objects may be processed using the disclosed implementations to segment from those scenes the individual objects represented in those scenes. The disclosed implementations may further determine clusters of visually similar object segments and form object clusters for those object segments. The scenes that include those object segments are also linked to the object cluster. With scenes linked to different object clusters, a user may select one or more query objects or a query scene and be presented with other scenes that include visually similar objects, even though the overall scenes may be visually different.
Systems and methods for generating embeddings for nodes of a corpus graph are presented. More particularly, operations for generation of an aggregated embedding vector for a target node is efficiently divided among operations on a central processing unit and operations on a graphic processing unit. With regard to a target node within a corpus graph, processing by one or more central processing units (CPUs) is conducted to identify the target node's relevant neighborhood (of nodes) within the corpus graph. This information is prepared and passed to one or more graphic processing units (GPUs) that determines the aggregated embedding vector for the target node according to data of the relevant neighborhood of the target node.
G06F 16/9535 - Search customisation based on user profiles and personalisation
G06F 16/9536 - Search customisation based on social or collaborative filtering
G06F 18/211 - Selection of the most significant subset of features
G06F 18/214 - Generating training patterns; Bootstrap methods, e.g. bagging or boosting
G06F 18/2413 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
G06N 3/04 - Architecture, e.g. interconnection topology
Systems and methods are presented for efficient and effective computation of LSH hashing functions for use in various environments, including nearest-neighbor search. A corpus of items is maintained, with each item of the corpus being associated with information identifying one of a plurality of LSH partitions to which the item has been mapped or hashed. In response to an input item, the input item is projected one or more times into an orthoplex inscribed within a multi-dimensional space. For each mapping, a determination is made as to the nearest vertex of the orthoplex to the projected input item, and the LSH partitions associated with the nearest vertex are aggregated and associated with the input item as the input item's LSH partition.
G06F 16/22 - Indexing; Data structures therefor; Storage structures
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
electronic bulletin board services downloadable computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; downloadable computer software and downloadable software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable and prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; downloadable software for facilitating business promotion and connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art reproductions in the field of audio visual, visual arts, pictures, graphics, and photography; downloadable computer e-commerce software to allow users to perform electronic business transactions via a global computer network advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, business data analysis and behavior analysis in the nature of marketing research to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the online resources of others; providing an online searchable database featuring a wide variety of consumer, business, and industrial goods of others; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes platform as a service (PAAS) featuring computer software platforms that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of audio visual, visual arts, pictures, graphics, and photography; providing a website featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; platform as a service (PAAS) featuring computer software platforms that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform as a service (PAAS) featuring computer software platforms for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform as a service (PAAS) featuring computer software platforms for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks providing online social networking services for purposes of commentary, comparison, collaboration, consultation, evaluation, advice, discussion, research, notification, reporting, identification, information sharing, indexing, information location, entertainment, and pleasure
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
electronic bulletin board services downloadable computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; downloadable computer software and downloadable software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable and prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; downloadable software for facilitating business promotion and connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art reproductions in the field of audio visual, visual arts, pictures, graphics, and photography; downloadable computer e-commerce software to allow users to perform electronic business transactions via a global computer network advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, business data analysis and behavior analysis in the nature of marketing research to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the online resources of others; providing an online searchable database featuring a wide variety of consumer, business, and industrial goods of others; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes platform as a service (PAAS) featuring computer software platforms that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of audio visual, visual arts, pictures, graphics, and photography; providing a website featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; platform as a service (PAAS) featuring computer software platforms that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform as a service (PAAS) featuring computer software platforms for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform as a service (PAAS) featuring computer software platforms for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks providing online social networking services for purposes of commentary, comparison, collaboration, consultation, evaluation, advice, discussion, research, notification, reporting, identification, information sharing, indexing, information location, entertainment, and pleasure
09 - Scientific and electric apparatus and instruments
Goods & Services
downloadable software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable and prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content
09 - Scientific and electric apparatus and instruments
Goods & Services
downloadable software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable and prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
electronic bulletin board services downloadable computer software, namely, software that allows users to interact online with information and media content that other users share, and software that allows users to discover, access and share information about, and media content concerning, goods, services, and experiences; downloadable computer software and downloadable software applications that enable electronic communications network users to create, upload, bookmark, view, annotate, and share data, information and media content; software, downloadable and prerecorded, in the nature of a mobile application that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; software downloadable via electronic communications networks and wireless devices that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; downloadable software for facilitating business promotion and connecting social network users with businesses; downloadable electronic publications in the nature of blogs, photographs, and graphic art reproductions in the field of audio visual, visual arts, pictures, graphics, and photography; downloadable computer e-commerce software to allow users to perform electronic business transactions via a global computer network advertising and promotional services; advertising and marketing services, namely, promoting the products and services of others; business data analysis; business monitoring and consulting services, namely, business data analysis and behavior analysis in the nature of marketing research to provide strategy, insight, and marketing guidance, and for analyzing, understanding and predicting behavior and motivations, and market trends; promoting the goods and services of others by means of operating an online platform with hyperlinks to the online resources of others; providing an online searchable database featuring a wide variety of consumer, business, and industrial goods of others; electronic commerce services, namely, providing information about products via telecommunication networks for advertising and sales purposes platform as a service (PAAS) featuring computer software platforms that enables internet users to create, upload, bookmark, view, annotate, share and discover data, information and multimedia content; computer services, namely, creating an online community for registered users to participate in discussions, get feedback from their peers, form virtual communities, and engage in social networking services in the field of audio visual, visual arts, pictures, graphics, and photography; providing a website featuring non-downloadable software that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; platform as a service (PAAS) featuring computer software platforms that enables electronic communications network users to create, upload, bookmark, view, annotate, share and discover data, information and media content; hosting an interactive platform and online non-downloadable software for uploading, posting, showing, displaying, tagging, sharing and transmitting messages, comments, multimedia content, photos, pictures, images, text, information, and other user-generated content; developing and hosting a server on a global computer network for the purpose of facilitating e-commerce via such a server; platform as a service (PAAS) featuring computer software platforms for mobile device communication, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via mobile devices; platform as a service (PAAS) featuring computer software platforms for networked communications, namely, providing non-downloadable software that facilitates sharing and discovering information and media content via local and global computer, mobile, cellular, electronic, wireless, and data communications networks providing online social networking services for purposes of commentary, comparison, collaboration, consultation, evaluation, advice, discussion, research, notification, reporting, identification, information sharing, indexing, information location, entertainment, and pleasure
According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.
An online host for conducting a promotion campaign is presented. Online behaviors of subscribers exposed by the promotion campaign are tracked for determining conversion counts for the promotion campaign. For exposed subscribers whose online behaviors are not sufficiently available to the online host to determine conversion counts (non-measurable subscribers), a machine learning model is trained to predict conversion counts based on online behaviors that are conducted on internet locations under control of the online service, and further trained to determine an estimated error rate regarding the predicted conversion counts. Conversion counts for a promotion campaign are determined according to an analysis of the online behaviors of the exposed subscribers whose online behaviors are sufficiently available to the online host to determine conversion counts (measurable subscribers), and according to the predicted conversion counts of the non-measurable subscribers with an estimated error rate that meets or exceeds a predetermined threshold.
A system for and a method of using user-entered information to return more meaningful information in response to Internet search queries are disclosed. A method in accordance with the disclosed subject matter comprises managing a database in response to multiple user inputs and displaying search results from the database in response to a search query. The search results include a results list and supplemental data related to the search query. Managing the database includes, among other things, re-ranking elements in the results list, storing information related to relevancies of elements in the results list, blocking a link in the results list, storing links to documents related to the search query, or any combination of these. The supplemental data include descriptions of or indices to one or more concepts related to the search query.
Systems and methods for recommending content to an online service subscriber are presented. For each subscriber, content items that were the subject of the subscriber's prior interactions are projected, via associated embedding vectors, into a content item embedding space. The content items, via their projections into the content item embedding space, are clustered to form a plurality of interest clusters for the subscriber. A representative embedding vector is determined for each interest cluster, and a plurality of these embedding vectors are stored as the representative embedding vectors for the subscriber. The online service, in response to a request for recommended content for a subscriber, selects a first representative embedding vector associated with the subscriber and identifies a new content item from a corpus of content items according to a similarity measure between the first representative embedding vector and an embedding vector associated with the new content item.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content. One of the methods includes providing a plurality of image content items to an application interface of a client device for presentation; receiving a user selection of a particular image content item of the plurality of presented image content items; and responsive to the selection, providing a combination of native content and third party content associated with the selected image content item, wherein the native content includes a close up view of the selected image content item and the third party content includes a third party webpage.
G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
This application describes a system and process for providing object identifiers relating to real world objects to users based on the location of the user and the anticipated interested of the user in an object within a defined distance of the user. For example, if the user is within a retail store, a portable device associated with the user may detect or receive a beacon transmitted from a location within the retail store and object identifiers representative of objects within the store may be generated and provided to the user. In some implementations, only object identifier representative of items determined to be of likely interest to the user may be provided for presentation to the user.
Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.
According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.
A system for visual discovery is disclosed. The system identifies a visual search query in response to an action associated with an image presented to a user of a client device. The system extracts visual features from the visual search query and compares the visual features with visual features of stored content items. The system then identifies a set of candidate visual content items from the stored content items that have visual features, which are similar to the visual features of the visual search query. The candidate visual content items are ranked using information from a user session and provided for display to the user.
An online host for conducting a promotion campaign is presented. Online behaviors of subscribers exposed by the promotion campaign are tracked for determining conversion counts for the promotion campaign. For exposed subscribers whose online behaviors are not sufficiently available to the online host to determine conversion counts (non-measurable subscribers), a machine learning model is trained to predict conversion counts based on online behaviors that are conducted on internet locations under control of the online service, and further trained to determine an estimated error rate regarding the predicted conversion counts. Conversion counts for a promotion campaign are determined according to an analysis of the online behaviors of the exposed subscribers whose online behaviors are sufficiently available to the online host to determine conversion counts (measurable subscribers), and according to the predicted conversion counts of the non-measurable subscribers with an estimated error rate that meets or exceeds a predetermined threshold.
Systems and methods for recommending content to an online service user are presented. In response to a request from a user, a set of n-grams of the request are generated, with each n-gram comprising one or more terms from the request and each n-gram of the set of n-grams being unique. Embedding vectors projecting the n-grams into a content item embedding space are generated, and the embedding vectors are combined into a representative embedding vector for the request. The nearest content items are identified according to a distance measure between a projection of the representative embedding vector and embedding vectors of content items of a corpus of content items in the content item embedding space. At least some of the nearest content items are returned as recommended content in response to the request from the user.
Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted, and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term user interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.
Described are systems and methods for establishing and generating collections of sets that contain object identifiers based on user provided annotations for the object identifiers. A set may include one or more object identifiers and each object identifier may include one or more user provided annotations. Annotations from all object identifiers within a set are processed to form a set profile signature representative of the set. The set profile signatures are then compared between different sets to identify similar sets. Similar sets are included in a collection. Utilizing set profile signatures for a set formed based on user provided annotations provides useful relationships between sets that might otherwise not exist.
Described are systems and methods for extracting parameters associated with a look/beauty aesthetic presented in a content item such as an image or a video. The extracted parameters can be used to identify beauty products that can be used to create a similar look/beauty aesthetic and to render the beauty product on a streaming live-feed video of the user so that the user can assess how the product looks on the user. Aspects of the disclosure also relate to classifying content items presenting a look/beauty aesthetic based on a dominant skin tone present in the content item.
Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.
Systems and methods are set forth for identifying key-words and key-phrases, collectively referred to as key-terms, from a document. A document is accessed and the document is tokenized, each token corresponding to a word or phrase occurring within the document. Term frequencies of the terms of the tokens may be determined and TF-IDF scores may be generated according to the term frequencies. Embedding vectors for the terms of the tokens may be generated and a document embedding vector may be generated according to the embedding vectors of the documents. A similarity score may be determined for each token according to the embedding vector of a token and the document embedding vector. Additionally, an overall score may be determined for each token according to the term of the token, a TF-IDF score, similarity scores, and the like. Terms from the highest scoring tokens are selected as the key-terms for the document.
This disclosure describes systems and methods that facilitate reducing a data set that may be used to construct a node graph. For example, the data set may include collections, representations, and associations between the collections and the representations. Topic scores may be determined for the representations, and diversity scores for each collection may be determined based on the topic scores of representations that are associated with the respective collection. If the diversity score is too high, then the collection and its associations are excluded from being incorporated into a node graph that is subsequently constructed from the data set. Topic scores may also be determined for collections in the data set based on the topic scores of representations that are associated with each collection.
The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.
Described are systems and methods for establishing a unit group dictionary based on user provided annotations. The unit group dictionary may be used to identify relationships between multiple items in a corpus. Those relationships may facilitate the display of object identifiers and/or other aspects used and/or provided by the object management service.
Techniques described herein are directed to generating and presenting customized directives for facilitating interactions between user(s) and user interface(s) associated with a content service provider. In an example, the content service provider may determine a state associated with a user based on user data associated with the user. Additionally, the content service provider may receive context data identifying an action performed by the user in association with content item(s) presented via a graphical user interface (GUI) and may determine an intent of the user based at least partly on the context data. Based at least partly on the state associated with the user and the intent of the user, the content service provider may determine a directive for prompting the user to access and/or use a feature associated with the content service provider and may cause a change to the GUI to communicate the directive.
Systems and methods for recommending content to an online service user are presented. In response to a request from a user, a set of n-grams of the request are generated, with each n-gram comprising one or more terms from the request and each n-gram of the set of n-grams being unique. Embedding vectors projecting the n-grams into a content item embedding space are generated, and the embedding vectors are combined into a representative embedding vector for the request. The nearest content items are identified according to a distance measure between a projection of the representative embedding vector and embedding vectors of content items of a corpus of content items in the content item embedding space. At least some of the nearest content items are returned as recommended content in response to the request from the user.
Described are systems and methods that solve localization problems using Machine Learning models to compute country vectors for each linked content item and present content items in response to requests based on the country vectors. For example, a request from a user in Country A may be processed to determine candidate content items responsive to the request and to determine Country A as the country corresponding to the request. The candidate content items may then be processed to determine, for each candidate content item, a country vector corresponding to Country A as indicative of the relevance of the content item to Country A. Content items that are more likely than not to be relevant to the country of the request (e.g., Country A), as indicated by the respective country vector, may be considered as responsive and all other candidate content items discarded.
G06F 16/909 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
H04L 67/02 - Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
93.
Object identification based on long-term user behavior and short-term interest
The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.
Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
Described are systems and methods for establishing and generating collections of sets that contain object identifiers based on user provided annotations for the object identifiers. A set may include one or more object identifiers and each object identifier may include one or more user provided annotations. Annotations from all object identifiers within a set are processed to form a set profile signature representative of the set. The set profile signatures are then compared between different sets to identify similar sets. Similar sets are included in a collection. Utilizing set profile signatures for a set formed based on user provided annotations provides useful relationships between sets that might otherwise not exist.
Systems and methods for identifying a selected set of users of a social networking service which, upon issuing a notice regarding a re-post activity of an item of content, will likely result in heightened user interaction with the service. Upon receiving a notice of a re-post action by a first user, the social networking service identifies a first set of users of the service that have posted that item of content. Scores are associated with the users of the first set of users, the scores indicating a likelihood of a user that, if notified of the re-post action of the first user, will result in heightened user interaction with the social networking service. A subset of users of the first set of users are identified according to their associated scores and a notice of the re-post action by the first user is sent to the users of this subset of users.
Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. For example, a user may touch a touch-based display using two fingers to invoke the dynamic search input and then determine a size and a position of the dynamic search input by moving their fingers on the display. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.
G06F 16/532 - Query formulation, e.g. graphical querying
G06F 3/0488 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
Disclosed are implementations that enable the linking or connection of objects and different scenes in which those objects are represented. For example, a corpus of scenes (e.g., digital images) that include a representation of one or more objects may be processed using the disclosed implementations to segment from those scenes the individual objects represented in those scenes. The disclosed implementations may further determine clusters of visually similar object segments and form object clusters for those object segments. The scenes that include those object segments are also linked to the object cluster. With scenes linked to different object clusters, a user may select one or more query objects or a query scene and be presented with other scenes that include visually similar objects, even though the overall scenes may be visually different.
Disclosed are implementations that enable the linking or connection of objects and different scenes in which those objects are represented. For example, a corpus of scenes (e.g., digital images) that include a representation of one or more objects may be processed using the disclosed implementations to segment from those scenes the individual objects represented in those scenes. The disclosed implementations may further determine clusters of visually similar object segments and form object clusters for those object segments. The scenes that include those object segments are also linked to the object cluster. With scenes linked to different object clusters, a user may select one or more query objects or a query scene and be presented with other scenes that include visually similar objects, even though the overall scenes may be visually different.
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 16/51 - Indexing; Data structures therefor; Storage structures
Described are systems and methods for determining session intent of a user. Different users can use a network-based application in many different ways based on, for example, the user's purpose for using the application, the device on which the user is executing the application, the user themselves, date, time, location, etc. Through the collection of user activities during a user session, the intent of a user session can be determined. Once determined, content provided through the application can be further personalized to correspond to the determined session intent.
