Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
H04L 67/568 - Stockage temporaire des données à un stade intermédiaire, p. ex. par mise en antémémoire
H04L 67/5681 - Pré-extraction ou pré-livraison de données en fonction des caractéristiques du réseau
H04L 69/329 - Protocoles de communication intra-couche entre entités paires ou définitions d'unité de données de protocole [PDU] dans la couche application [couche OSI 7]
2.
Multiple data source product inventory, disposition, and order management system
An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.
A client updates a display of a user interface associated with a state-based client-server application in accordance with a client-side cache. The server supplies data for a new state and additional data for one or more subsequent states that possibly follow the new state if appropriate one or more operations are performed. When a client request is generated that indicates an operation that causes the application to transition to the new state, the client updates the display in accordance with the data that corresponds to the new state from the client-side cache, if available from the client-side cache. The new state data is available since the server has previously supplied the new state data.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 67/5681 - Pré-extraction ou pré-livraison de données en fonction des caractéristiques du réseau
H04L 69/329 - Protocoles de communication intra-couche entre entités paires ou définitions d'unité de données de protocole [PDU] dans la couche application [couche OSI 7]
4.
Augmentation and processing of digital information sets using proxy data
A proxy data augmentation system and method intelligently augments digital information sets with proxy data using analytical processing technology. The proxy data system and method identifies fields in a digital information set that are candidates for modification using proxy data. After identifying a candidate field, an analytical process is invoked to evaluate a context of the candidate field. In one embodiment, once the context and at least one other parameter associated with the digital information set are evaluated, the proxy data augmentation system and method can determine appropriate proxy data to populate the candidate field and modify the digital information set with the determined proxy data. The modified document can then be sent to a recipient data processing system. Additionally, the digital information set submitting and/or recipient data processing system can be notified of the existence and identification of the proxy data.
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
A virtual salesperson system and method for tablet computers such as Apple's iPad can be used by the customer (as opposed to most applications which are for the dealer, or on a central kiosk) to provide the customer a tour of a showroom and each vehicle, highlighting key features and other content at the discretion of the OEM, such as videos tours conducted by their spokesperson. In at least one embodiment, the customer can also search inventory, potentially at this dealer and other ‘friendly’ dealerships with whom this dealer has a trading relationship. Other sales tools such as build and price, payment estimation, etc are available as well.
A multi-dimensional recommended order system generates recommended orders for configurable products. The multi-dimensional recommended order system generates the recommended orders based on a multi-dimensional demand and sales metrics analysis. The multi-dimensional recommended order system determines the recommended order for each product configuration with a goal of moving a future supply mix of complex products to an optimized target supply mix. The recommended order can be generated and evaluated based on demand analysis of not only configured products but also based on analysis for demand of particular product dimensions. Thus, the system determines a recommended order for each configurable product by minimizing imbalances between future supplies and target supplies of product configurations and future supplies and target supplies of dimensions of the product configurations.
The variable domain data access control system and method described herein use the same variable domain to describe a data security model and a variable domain data model, such as a product configuration model. A variable domain is a set of resource data that can be described using a logical relationship data structure. The variable domain utilizes logical relationship expressions, such as a Boolean logic language, to define resource data in terms of parts, rules and/or attributes, and any other property that can be accessed for viewing, manipulation, or other purposes. The data security model represents an access control list (ACL) that includes security attributes as resource data and uses the same data structure and logical relationship expressions as an associated variable domain data model. An application, such as a configuration engine, can be used to create controlled access to the variable domain data model using the data security model.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A log file processing system sorts records from large log files and groups them by session without making a complete copy of the log files by capturing a subset of the log files in a sliding memory window and identifying all records in the window that form a complete user session. Records belonging to a complete session are output for analyzing, and the remaining records are output as raw log data for additional processing. Using a ring buffer to implement the sliding memory window, data structures are used to group records by session, to identify completed sessions, and to index into the ring buffer to retrieve records for completed sessions that are to be directly analyzed. Any records remaining in the ring buffer at the end of slide window processing may be output as raw log file data and are processed as incomplete or malformed session records. An embodiment of the log file processing system provides a significant improvement on the speed of data extraction from log files into analyzable session data.
A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that may be processed to identify frequent sets therein. When association rules are generated from such frequent sets, the complexity and/or quantity of such rules may be managed by removing redundancies from the rules, such as by removing rules providing only trivial associations, removing rules having only a part group as the consequent, modifying rules to remove redundant antecedent items and/or filtering subsumed rules from the generated rule set that do not provide sufficient lift to meet an adjustable specialization lift threshold requirement.
An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
H04L 69/329 - Protocoles de communication intra-couche entre entités paires ou définitions d'unité de données de protocole [PDU] dans la couche application [couche OSI 7]
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
A virtual salesperson system and method for tablet computers such as Apple's iPad can be used by the customer (as opposed to most applications which are for the dealer, or on a central kiosk) to provide the customer a tour of a showroom and each vehicle, highlighting key features and other content at the discretion of the OEM, such as videos tours conducted by their spokesperson. In at least one embodiment, the customer can also search inventory, potentially at this dealer and other ‘friendly’ dealerships with whom this dealer has a trading relationship. Other sales tools such as build and price, payment estimation, etc are available as well.
A multi-dimensional recommended order system generates recommended orders for configurable products. The multi-dimensional recommended order system generates the recommended orders based on a multi-dimensional demand and sales metrics analysis. The multi-dimensional recommended order system determines the recommended order for each product configuration with a goal of moving a future supply mix of complex products to an optimized target supply mix. The recommended order can be generated and evaluated based on demand analysis of not only configured products but also based on analysis for demand of particular product dimensions. Thus, the system determines a recommended order for each configurable product by minimizing imbalances between future supplies and target supplies of product configurations and future supplies and target supplies of dimensions of the product configurations.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A client updates a display of a user interface associated with a state-based client-server application in accordance with a client-side cache. The server supplies data for a new state and additional data for one or more subsequent states that possibly follow the new state if appropriate one or more operations are performed. When a client request is generated that indicates an operation that causes the application to transition to the new state, the client updates the display in accordance with the data that corresponds to the new state from the client-side cache, if available from the client-side cache. The new state data is available since the server has previously supplied the new state data.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
17.
Application state server-side cache for a state-based client-server application
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
A proxy data augmentation system and method intelligently augments digital information sets with proxy data using analytical processing technology. The proxy data system and method identifies fields in a digital information set that are candidates for modification using proxy data. After identifying a candidate field, an analytical process is invoked to evaluate a context of the candidate field. In one embodiment, once the context and at least one other parameter associated with the digital information set are evaluated, the proxy data augmentation system and method can determine appropriate proxy data to populate the candidate field and modify the digital information set with the determined proxy data. The modified document can then be sent to a recipient data processing system. Additionally, the digital information set submitting and/or recipient data processing system can be notified of the existence and identification of the proxy data.
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G06Q 50/22 - Aide sociale ou assistance sociale, p. ex. activités de développement communautaire ou services de consultation
A virtual salesperson system and method for tablet computers such as Apple's iPad can be used by the customer (as opposed to most applications which are for the dealer, or on a central kiosk) to provide the customer a tour of a showroom and each vehicle, highlighting key features and other content at the discretion of the OEM, such as videos tours conducted by their spokesperson. In at least one embodiment, the customer can also search inventory, potentially at this dealer and other ‘friendly’ dealerships with whom this dealer has a trading relationship. Other sales tools such as build and price, payment estimation, etc are available as well.
A validation engine validates product demand data using novel supply-demand imbalance data. Validating the product demand data provides confidence that the demand data is accurate. Confidence in the demand data allows manufacturers, distributors, and others involved in commerce to rely upon the demand data for product manufacture and ordering. The validation engine correlates determined product demand data with product supply data to generate ‘imbalance data’. The product supply data represents data for the same time period as the time period of the product demand data. The imbalance data is, in one embodiment, a difference between the product supply data and the product demand data. In one embodiment, the validation engine generates the imbalance data by subtracting product demand data from the supply data associated with the same product. Negative imbalance data indicates undersupplied products, and positive imbalance data indicates oversupplied products.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e.g., retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.
A transaction processing system includes an engine to process transactions in accordance with rules and data. Changes can be made to the rules and data, transactions, and other parameters that have retroactive affects. The transaction processing system includes a reprocessing system to submit reprocessing requests that prompt a transaction processing engine to efficiently reprocess data to generate accurate output data. In addition to helping ensure accurate output results, the reprocessing operation selectively reprocesses information to avoid unnecessarily reprocessing every transaction. Additionally, embodiment of the compensation system allow parallel processing of current transactions and reprocessing operations using batch processing mechanisms. The transaction processing system can be implemented to perform a variety of transaction processing operations, such as processing of compensation related data.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu
G06F 9/46 - Dispositions pour la multiprogrammation
24.
Multiple data source product inventory, disposition, and order management system
An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.
A multi-dimensional recommended order system generates recommended orders for configurable products. The multi-dimensional recommended order system generates the recommended orders based on a multi-dimensional demand and sales metrics analysis. The multi-dimensional recommended order system determines the recommended order for each product configuration with a goal of moving a future supply mix of complex products to an optimized target supply mix. The recommended order can be generated and evaluated based on demand analysis of not only configured products but also based on analysis for demand of particular product dimensions. Thus, the system determines a recommended order for each configurable product by minimizing imbalances between future supplies and target supplies of product configurations and future supplies and target supplies of dimensions of the product configurations.
The variable domain data access control system and method described herein use the same variable domain to describe a data security model and a variable domain data model, such as a product configuration model. A variable domain is a set of resource data that can be described using a logical relationship data structure. The variable domain utilizes logical relationship expressions, such as a Boolean logic language, to define resource data in terms of parts, rules and/or attributes, and any other property that can be accessed for viewing, manipulation, or other purposes. The data security model represents an access control list (ACL) that includes security attributes as resource data and uses the same data structure and logical relationship expressions as an associated variable domain data model. An application, such as a configuration engine, can be used to create controlled access to the variable domain data model using the data security model.
A client updates a display of a user interface associated with a state-based client-server application in accordance with a client-side cache. The server supplies data for a new state and additional data for one or more subsequent states that possibly follow the new state if appropriate one or more operations are performed. When a client request is generated that indicates an operation that causes the application to transition to the new state, the client updates the display in accordance with the data that corresponds to the new state from the client-side cache, if available from the client-side cache. The new state data is available since the server has previously supplied the new state data.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
28.
Predictive prefetching of data from remote client-state cache from server to update local client-state cache
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying a first code snippet and a first library function which generate similar outputs from a shared input by parsing each and every line of code in a candidate code snippet to generate a templatized code snippet data structure for the first code snippet, and then testing the templatized code snippet data structure against extracted library function information to check for similarity of outputs between the first code snippet and the first library function in response to a shared input so that the developer is presented with a library function recommendation which includes the first code snippet, the first library function, and instructions for replacing the first code snippet with the first library function.
A method and apparatus are disclosed for finding overlong source code segments (e.g., methods) by evaluating input source code segments for a plurality of predetermined code metric values in order to identify candidate source code segments (e.g., non-autogenerated methods) which do not meet a first code metric value and to assess each candidate source code segment against a second code metric value to identify different sets of candidate source code segments (e.g., test methods and normal methods) so that each set of candidate source code segments may be assessed against a tailored set of code length thresholds to identify any overlong source code segment having a code length which meets or exceeds at least two of the tailored set of code length thresholds.
A method and apparatus are disclosed for upgrading libraries in a source code program by evaluating libraries in the source code program for predetermined selection criteria specifying library performance limitations to identify at least a first library which does not meet the plurality of predetermined selection criteria and then identifying a first alternative library that is suitable for substitution for the first library so that the source code program may be automatically modified to replace the first library with the first alternative library, thereby generating a modified source code program having an upgraded library functionality.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying candidate code snippets from the plurality of input source code files that meet a similarity threshold measure for library functions stored in the system library and then identifying at least a first validated code snippet from the candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics so that the developer is presented with a library function recommendation which includes the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function.
A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model, scraping documentation pages to extract test cases, and then scraping test case code to extract the test case input parameters for input to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.
A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by preprocessing input source code files with codeword processing operations to generate a plurality of preprocessed input source code files, identifying candidate code snippets by pruning one or more preprocessed input source code files that do not meet a similarity threshold measure for library functions stored in the system library, and identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics.
A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled with extracted data using an iterative sequence of operations to retrieve, scrape or extract data to automatically populate data fields in library configuration file template for validation processing to ensure that the file is in the correct format and satisfies the constraints provided by the library recommendation engine.
A method, system, and apparatus are disclosed for adding library models to a library knowledge base by defining a template for a library configuration file that conveys information about each library model, custom inputs and code snippets to facilitate library comparison operations, and education content for the library model, where the library configuration file template may be automatically filled by populating selected data fields in the template with information identifying the library model and a set of custom inputs for the library model, and then passing a set of test cases from the set of custom inputs to an input/output matching engine to evaluate a repository of code snippets and identify a set of functionally similar code snippets for inclusion one or more data fields in the template.
A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying a first code snippet and a first library function which have similar execution flow similarity measures by evaluating a first contiguous sequence of n items extracted from the first code snippet against a second contiguous sequence of n items extracted from the first library function using an Ngram threshold that is calculated for the first library function and one or more literals from the first code snippet so that the developer is presented with a library function recommendation which includes the first code snippet, the first library function, and instructions for replacing the first code snippet with the first library function.
A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying candidate code snippets from the plurality of input source code files that meet a similarity threshold measure for library functions stored in the system library and then identifying at least a first validated code snippet from the candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics so that the developer is presented with a library function recommendation which includes the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function.
An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.
Technologies are described for managing metadata associated with external content. For example metadata can be obtained that describes content stored on external systems. The metadata can be obtained without locally storing the content items themselves. For example, the metadata can be retrieved from the external systems while the external content continues to be stored on the external systems. The metadata can also include indications of the actions that can be performed in relation to the external content. For example, actions can be obtained (e.g., locally determined and/or obtained from the external systems) and added to the metadata. The metadata can be stored and used locally. For example, the metadata can be used to locally perform the actions in relation to the external content. The metadata can also be used to locally initiate actions that are then carried out in the external systems.
H01L 29/06 - Corps semi-conducteurs caractérisés par les formes, les dimensions relatives, ou les dispositions des régions semi-conductrices
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
G06F 16/48 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
41.
CODE DEFECT PREDICTION BY TRAINING A SYSTEM TO IDENTIFY DEFECT PATTERNS IN CODE HISTORY
A system, method, and computer-readable medium are disclosed for predicting a defect within a computer program comprising: accessing a code base of the computer program, the code base of the computer program comprising a plurality of computer program files; training the defect prediction system, the training including performing a historical analysis of defect occurrence patterns in the code base of the computer program; analyzing a commit of the computer program to identify a likelihood of defect occurrence within each of the plurality of files of the computer program; and, calculating a defect prediction metric for each of the plurality of files of the computer program, the defect prediction metric providing an objective measure of defect prediction for each of the plurality of files of the computer program.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that may be processed to identify frequent sets therein. When association rules are generated from such frequent sets, the complexity and/or quantity of such rules may be managed by removing redundancies from the rules, such as by filtering subsumed rules from the generated rule set that have a confidence metric value that does not exceed a first confidence metric value for a subsuming rule by more than a scaled lift threshold value that is calculated by determining a complement of the first confidence metric value, squaring the complement to obtain a squared value and multiplying the squared value by a scaling factor.
The variable domain data access control system and method described herein use the same variable domain to describe a data security model and a variable domain data model, such as a product configuration model. A variable domain is a set of resource data that can be described using a logical relationship data structure. The variable domain utilizes logical relationship expressions, such as a Boolean logic language, to define resource data in terms of parts, rules and/or attributes, and any other property that can be accessed for viewing, manipulation, or other purposes. The data security model represents an access control list (ACL) that includes security attributes as resource data and uses the same data structure and logical relationship expressions as an associated variable domain data model. An application, such as a configuration engine, can be used to create controlled access to the variable domain data model using the data security model.
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
46.
Augmentation and processing of digital information sets using proxy data
A proxy data augmentation system and method intelligently augments digital information sets with proxy data using analytical processing technology. The proxy data system and method identifies fields in a digital information set that are candidates for modification using proxy data. After identifying a candidate field, an analytical process is invoked to evaluate a context of the candidate field. In one embodiment, once the context and at least one other parameter associated with the digital information set are evaluated, the proxy data augmentation system and method can determine appropriate proxy data to populate the candidate field and modify the digital information set with the determined proxy data. The modified document can then be sent to a recipient data processing system. Additionally, the digital information set submitting and/or recipient data processing system can be notified of the existence and identification of the proxy data.
G06Q 50/22 - Aide sociale ou assistance sociale, p. ex. activités de développement communautaire ou services de consultation
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
A client updates a display of a user interface associated with a state-based client-server application in accordance with a client-side cache. The server supplies data for a new state and additional data for one or more subsequent states that possibly follow the new state if appropriate one or more operations are performed. When a client request is generated that indicates an operation that causes the application to transition to the new state, the client updates the display in accordance with the data that corresponds to the new state from the client-side cache, if available from the client-side cache. The new state data is available since the server has previously supplied the new state data.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
48.
Predictive prefetching of data from remote client-state cache from server to update local client-state cache
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
49.
Efficient large-scale compensation calculation system
The compensation calculation system provides in one embodiment a promotion based system. A series of user interfaces allow a user to define an incentive program, such as a promotion program, for customers of an entity. In one embodiment, the definition of an incentive program includes the customers who will participate in the program, the products that are the subject of the program, various levels of attainments that must be met to obtain compensation, and the payout generation details. The system efficiently determines accumulations relevant to the attainments and payouts using a combination snowflake data schema and nested set model to facilitate high performance determination of accumulation values. “What-if” analyses can be undertaken in a reasonable amount of time to, for example, determine and/or compare different compensation payouts based on changing variables that affect compensation.
A client updates a display of a user interface associated with a state-based client-server application in accordance with a client-side cache. The server supplies data for a new state and additional data for one or more subsequent states that possibly follow the new state if appropriate one or more operations are performed. When a client request is generated that indicates an operation that causes the application to transition to the new state, the client updates the display in accordance with the data that corresponds to the new state from the client-side cache, if available from the client-side cache. The new state data is available since the server has previously supplied the new state data.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
A user interface ("UI") code coverage system and process determines the coverage by test code of UI Components in a computer program. In other words, the UI code coverage system and process determine whether the test code tests a UI Component. In at least one embodiment, the UI code coverage system and process identify the particular UI Components tested by the test code, provide coverage (i.e. tested) statistics, provide a visualization of the UI Component tested, provide a visualization of tested and not-tested (also referred to respectively as "covered" and "not covered") UI Components of a UI Screen.
A computer-based automated testing framework tests a multimedia application (such as a Flash application running in a player module) that includes one or more Flash objects by executing test scripts in an external Java-based test module that uses proxy objects in the test module to represent the Flash objects in the player module. Correspondence between the proxy object and Flash objects is maintained by translating the first test script into a command, sending the command from the external test module to the player module, interpreting the command by accessing a lookup table at the player module, and then returning a value to the external test module in response to the command.
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
54.
Attribute prioritized configuration using a combined configuration-attribute data model
A combined configuration rules-attribute configuration system uses an integrated configuration model to efficiently identify and attribute prioritize valid configuration answers. Submitting an attribute-based configuration query to the combined configuration rules-attribute configuration system allows the query to be answered in a single step. The combined configuration rules and attribute data guide product configuration processing and minimize configuration processing by, for example, calculating only the valid configuration answers that are candidates for the preferred valid answer(s). Thus, the combined configuration rules-attribute configuration system can minimize the number of valid configuration answers to be considered for presentation to a client system or other user of the combined configuration rules-attribute configuration system.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e.g., retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.
The variable domain data access control system and method described herein use the same variable domain to describe a data security model and a variable domain data model, such as a product configuration model. A variable domain is a set of resource data that can be described using a logical relationship data structure. The variable domain utilizes logical relationship expressions, such as a Boolean logic language, to define resource data in terms of parts, rules and/or attributes, and any other property that can be accessed for viewing, manipulation, or other purposes. The data security model represents an access control list (ACL) that includes security attributes as resource data and uses the same data structure and logical relationship expressions as an associated variable domain data model. An application, such as a configuration engine, can be used to create controlled access to the variable domain data model using the data security model.
The variable domain data access control system and method described herein use the same variable domain to describe a data security model and a variable domain data model, such as a product configuration model. A variable domain is a set of resource data that can be described using a logical relationship data structure. The variable domain utilizes logical relationship expressions, such as a Boolean logic language, to define resource data in terms of parts, rules and/or attributes, and any other property that can be accessed for viewing, manipulation, or other purposes. The data security model represents an access control list (ACL) that includes security attributes as resource data and uses the same data structure and logical relationship expressions as an associated variable domain data model. An application, such as a configuration engine, can be used to create controlled access to the variable domain data model using the data security model.
G06F 7/04 - Contrôle d'égalité, c.-à-d. pour valeurs égales ou non
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
59.
System and method for efficiently generating association rules
A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that may be processed to identify frequent sets therein. When association rules are generated from such frequent sets, the complexity and/or quantity of such rules may be managed by removing redundancies from the rules, such as by removing rules providing only trivial associations, removing rules having only a part group as the consequent, modifying rules to remove redundant antecedent items and/or filtering subsumed rules from the generated rule set that do not provide sufficient lift to meet an adjustable specialization lift threshold requirement.
G06F 15/18 - dans lesquels un programme est modifié en fonction de l'expérience acquise par le calculateur lui-même au cours d'un cycle complet; Machines capables de s'instruire (systèmes de commande adaptatifs G05B 13/00;intelligence artificielle G06N)
G06N 5/02 - Représentation de la connaissanceReprésentation symbolique
G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
A virtual salesperson system and method for tablet computers such as Apple's iPad can be used by the customer (as opposed to most applications which are for the dealer, or on a central kiosk) to provide the customer a tour of a showroom and each vehicle, highlighting key features and other content at the discretion of the OEM, such as videos tours conducted by their spokesperson. In at least one embodiment, the customer can also search inventory, potentially at this dealer and other ‘friendly’ dealerships with whom this dealer has a trading relationship. Other sales tools such as build and price, payment estimation, etc are available as well.
A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that may be processed to identify frequent sets therein. When association rules are generated from such frequent sets, the complexity and/or quantity of such rules may be managed by removing redundancies from the rules, such as by removing rules providing only trivial associations, removing rules having only a part group as the consequent, modifying rules to remove redundant antecedent items and/or filtering subsumed rules from the generated rule set that do not provide sufficient lift to meet an adjustable specialization lift threshold requirement.
A computer-based automated testing framework tests a multimedia application (such as a Flash application running in a player module) that includes one or more Flash objects by executing test scripts in an external Java-based test module that uses proxy objects in the test module to represent the Flash objects in the player module. Correspondence between the proxy object and Flash objects is maintained by translating the first test script into a command, sending the command from the external test module to the player module, interpreting the command by accessing a lookup table at the player module, and then returning a value to the external test module in response to the command.
A system and method for remote testing of enterprise software applications (ESA) allows one or more testers to remotely access an ESA and remotely test the ESA. In at least one embodiment, the ESA resides in a testing platform that includes one more computers that are provisioned for testing. "Provisioning" a computer system (such as one or more servers) refers to preparing, configuring, and equipping the computer system to provide services to one or more users. In at least one embodiment, the computer system is provisioned to create an ESA operational environment in accordance with a virtual desktop infrastructure (VDI) template interacting with virtualization software.
Techniques have been developed whereby an actuary-manipulable rating model may be defined and transformed into executable form using automated techniques. By allowing business users to define, review and revise rating models using familiar methodologies and constructs (such as factor tables) and by providing an automated facility for transformation of the rating model into an efficient executable form, systems and techniques in accordance with some embodiments of the present invention facilitate rapid deployment and update of insurance product offerings.
A session quality system collects and evaluates data from multiple user world wide web (“web”) product selection sessions and correlates the collected data with actual product purchases. The system assembles the data into a set of session profiles and assigns a score to each profile that represents a relative likelihood of purchasing the product. The system matches session data collected from future product selection sessions with a master profile. A weighted average of scores based on matched master profiles provides useful product demand information. Furthermore, the system can determine product demand with varying ranges of resolution. For example, the system can capture specific features of each product, such as color, audio system selections, and wheel types. Since these features can be common across multiple products, manufactures can expand their use of the high resolution product demand information.
Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p. ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié
A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e.g., retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A recommendation appliance, system and method are provided for generating and deploying additional web page content or functionality (e.g., retail recommendations) to an existing web page server system. For example, the present invention may be embodied as a reverse proxy server that is inserted as an intermediate network node between a web server and the end users accessing the web server. In this position, the recommendation appliance can introduce recommendation messages to web pages generated by the web server without requiring any modification to the code or architecture of the web server. In addition, the appliance may separately track the transaction activities of end users who receive recommendation messages and the transaction activities of end users who do not receive recommendation messages, so that a comparison of the effectiveness of the recommendations may efficiently be demonstrated without requiring any modification to the code or architecture of the web server.
A system and method of multi-objective visualization utilize a multiple-objective optimizer approach to multi-objective optimization and specifically utilize a method for exploring and visualizing Pareto surfaces for any number of dimensions using an interactive graphical user interface. The general solution is to maintain all natural problem objectives separately and use a special multiple-objective optimizer to solve the problem. In this case there is no single solution point. Rather, the solution is a hyper dimensional surface in an objective space with various surface points representing different tradeoffs between objectives.
A method, system, and apparatus for debugging an application program from a workstation that is remote from a server on which the application program resides includes invoking the application program from the workstation via a network interface; displaying a user frame at the workstation that includes information generated by the application program; providing a debug view option at the workstation for generating a debug frame of the application program; and displaying the debug frame at the workstation when the debug view option is selected. A user can select options to switch between the user frame and the debug frame. The debug frame includes information about one or more components of the application program such as a list of the variables or objects, and the fields, methods, and/or the constructors associated with them. When the debug view option is selected, the information for the user frame is saved, and can be restored to regenerate the information on the user frame when the user view option is selected. The developer can view internal, public, and private code associated with the application program without compromising the security of other application programs on the server. This ability to remotely debug application programs in accordance with the present invention is thus more time and cost efficient than previous methods, and also alleviates concerns about security and unauthorized access to the server.
A log file processing system sorts records from large log files and groups them by session without making a complete copy of the log files by capturing a subset of the log files in a sliding memory window and identifying all records in the window that form a complete user session. Records belonging to a complete session are output for analyzing, and the remaining records are output as raw log data for additional processing. Using a ring buffer to implement the sliding memory window, data structures are used to group records by session, to identify completed sessions, and to index into the ring buffer to retrieve records for completed sessions that are to be directly analyzed. Any records remaining in the ring buffer at the end of slide window processing may be output as raw log file data and are processed as incomplete or malformed session records. An embodiment of the log file processing system provides a significant improvement on the speed of data extraction from log files into analyzable session data.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
A log file processing system sorts records from large log files and groups them by session without making a complete copy of the log files by capturing a subset of the log files in a sliding memory window and identifying all records in the window that form a complete user session. Records belonging to a complete session are output for analyzing, and the remaining records are output as raw log data for additional processing. Using a ring buffer to implement the sliding memory window, data structures are used to group records by session, to identify completed sessions, and to index into the ring buffer to retrieve records for completed sessions that are to be directly analyzed. Any records remaining in the ring buffer at the end of slide window processing may be output as raw log file data and are processed as incomplete or malformed session records. An embodiment of the log file processing system provides a significant improvement on the speed of data extraction from log files into analyzable session data.
A method is disclosed that includes identifying an inventory item corresponding to a product configuration. The product configuration is defined using a feature map. The inventory item is also defined using the feature map. Each entry of the feature map corresponds to one of a number of features of a product.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents product page, configuration page, email and/or history using predetermined scoring criteria, such as item availability, item price, relevance of the item to the customer, item clarity, item exposure, total purchase amount in the cart, margin, recommendation confidence and lift, shopper profile matches, seasonality, customer history, time dependency, product marketing emphasis, substitutability, item popularity and/or product attributes associated with the recommended item. The scored recommendations may be ranked and/or filtered to prioritize the recommendations so that the best recommendation is selected for presentation to the customer. In addition, one or more scoring criteria or product attributes for the recommended item may be used to select a specific selling point/message text for inclusion with the selected recommendation.
A data processing system normalizes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that is stored in a database. By establishing a shared domain model for representing items in the recommendation context, catalog and quote history with common terms and concepts, a recommendation engine operating in the shared domain may process the attribute-based representations to make specific and relevant recommendations to the customer. In addition, when certain attribute values are normalized over time, recommendations derived from past order history can be intelligently applied to current orders. The normalized representation of elements in the shared domain may also be used to generate compelling selling point text for each recommendation that is specific to the marketing objectives of the seller and identifies the objectives of the buyer.
A data processing system generates recommendations for on-line shopping by scoring recommendations matching the customer's cart contents using by assessing and ranking each candidate recommendation by the expected incremental margin associated with the recommendation being issued (as compared to the expected margin associated with the recommendation not being issued) by taking into consideration historical associations, knowledge of the layout of the site, the complexity of the product being sold, the user's session behavior, the quality of the selling point messages, product life cycle, substitutability, demographics and/or other considerations relating to the customer purchase environment. In an illustrative implementation, scoring inputs for each candidate recommendation (such as relevance, exposure, clarity and/or pitch strength) are included in a probabilistic framework (such as a Bayesian network) to score the effectiveness of the candidate recommendation and/or associated selling point messages by comparing a recommendation outcome (e.g., purchase likelihood or expected margin resulting from a given recommendation) against a non-recommendation outcome (e.g., the purchase likelihood or expected margin if no recommendation is issued). In addition, a probabilistic framework may also be used to select a selling point message for inclusion with a selected candidate recommendation by assessing the relative strength of the selling point messages by factoring in a user profile match factor (e.g., the relative likelihood that the customer matches the various user case profiles).
A prime lead data commercialization system and method, in at least one embodiment, filters lead data to identify prime leads, provides the prime leads to a recipient, and determines compensation to the lead source based upon conversion rates. By shifting compensation risk to the lead source, the prime lead data source is able to obtain leads from any lead source without introducing arbitrary lead filtering criteria, such as filtering based on historically unacceptable conversion rates that would have otherwise omitted quality leads. The prime lead data source can establish filter criteria that restricts the lead data that the prime lead data source purchases. The prime lead data commercialization system can determine compensation based upon a premium pricing model. Accordingly, the risks of compensation based on conversion rates can be offset by justified premium pricing models for prime leads.
A data processing system processes data sets (such as low-resolution transaction data) into high-resolution data sets by mapping generic information into attribute-based specific information that is stored in a database. The extracting frequent pattern information from the database using frequent pattern growth techniques, a compact frequent pattern tree data structure efficiently holds frequent pattern information for multiple transactions having one or more items in each transaction. Frequent pattern data is transformed for ease of use with rule generation algorithms by removing redundant information (such as part group items) or by consolidating items corresponding to a part group and replacing those items with a proxy item for purposes of power set generation.
A nonlinear site flow system (referred to herein as an “NLSF System”) includes a nonlinear site flow context development module that works in conjunction with Web session information captured by the NLSF System to develop a context of a user's session. In one embodiment, the context of a user's session refers to interpreting the context of a user's Web session history. A nonlinear site flow context development module detects nonlinear flow events and determines whether the user, by initiating a nonlinear site flow action, such as a recall operation, has created a new session state or returned to a past session state. The nonlinear site flow context development module can then correctly determine the actual user flow during a Web session and develop an accurate context of the user's session.
G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p. ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié
81.
Applying data regression and pattern mining to predict future demand
A data processing system processes transaction database information to predict future demand using data regression techniques to extract trend line information from historical pattern frequency values. By extrapolating the trend line, a predicted pattern frequency value may be calculated. By applying regression techniques (such as least-squares approximation), the trend line information may be extracted and projected to predict the future pattern frequency which may be applied to calculate the expected value of a recommendation rule.
A method and apparatus for consolidating net-pay and debt management of a sales representative or sales team is presented. A party associated with the sales representatives may obtain debts and specify rules on payment of those debts which can be tracked back to the domain (e.g., agreements, rules, sale item, etc.). The ledger items created for that distributor by the commission engine are typically processed to distribute payments into accounts specified by the distributor and to pay debts obtained by the distributor. Available money may be split into various methods of payments for a distributor. These splits can be tracked by adding various constraints (related to the financial industries business model). The system allows the user to model the payment rule/constraints. Payment splits support pay-outs to alternate payee from funds of a distributor. The distributor may specify deduction rules which can be applied to the distributors earning to facilitate deductions for items such as taxes, mutual funds etc. The system offers the flexibility to choose the method of payment for a distributor for each issued debt. Debt repayment rules are introduced so that debts can be repaid from available earnings of a distributor. Debt collection mechanisms for defaulters are also provided.
brevets
