Patent application number | Description | Published |
20110295663 | Environment-Responsive Advertising System and Method - An environment-responsive system and method delivers advertisements to advertisement recipients in accordance with monitored usage behaviors and environment conditions local to the advertisement recipients. The advertisement recipients may interact with the advertisement delivery system so as to, for example, obtain additional information about the advertisement, including an explanation of why the advertisement recipient received the advertisement. Advertising fees may be processed based on advertisement recipient responses to the advertisements. | 12-01-2011 |
20110295664 | Dynamically-Assembled Advertisement System and Method - A dynamically-assembled advertisement system and method dynamically generates advertisements from advertisement components based on inferences of preferences from usage behaviors. Personalization features of the dynamically assembled advertisements include applying people and locales that are familiar to advertisement recipients within the advertisements, as well as including the recommendation recipient within the context of a product promoted by the advertisement. Advertising fees may be processed based on personalization features and advertisement recipient responses to the advertisements. | 12-01-2011 |
20110295665 | Subscription-Based Community Advertising System and Method - A subscription-based community advertising system and method delivers advertisements to system users that are members of computer-implemented communities in which the users subscribe to objects representing other users. The delivered advertisements may be generated in accordance with inferences of preferences from usage behaviors. The advertisements may be personalized, including making reference to other users, and explanations for why the advertisement was delivered may be provided. Advertising fees may be processed based advertisement recipient responses to the advertisements. | 12-01-2011 |
20110295696 | Personalized Advertising for Gesture Monitoring Systems - A computer-implemented personalized advertising system and method delivers dynamically generated advertisements to users of gesture-monitoring systems. The personalized advertisements are based, at least in part, on monitored behaviors, and personalization features of the advertisements include depicting the user in the context of promoted products, as well as including people and/or locales familiar to the advertisement recipient in the advertisement. Fees may be processed in accordance with advertiser selection of personalization features. | 12-01-2011 |
20110295699 | Gesture-Responsive Advertising Process - A gesture-responsive advertising process provides advertising fee processing for advertisements delivered on a gesture-responsive system. Fees are associated with advertisement recipient behaviors that are made in response to receipt of an advertisement. These behaviors include oral and gestural-based communications, and include requesting more information, requesting location-based information, and providing feedback on the advertisement. | 12-01-2011 |
20110295703 | Gesture-Responsive Advertising System and Method - A gesture-responsive system and method delivers interactive advertisements to advertisement recipients in accordance with monitored gestures and/or other behaviors, including other bodily movements. The advertisement recipient may interact with the advertisement delivery system so as to obtain additional information about the advertisement or to provide feedback, and the interactions may include gestural or oral-based interactions. Explanations of why the advertisement recipient received the advertisement may be generated and delivered by the system. | 12-01-2011 |
20110302121 | Environment-Responsive People Matching System and Method - An environment-responsive people matching system and method matches people in accordance with inferences of mutual interests based, at least in part, on environmental conditions local to the people being matched. Other behavioral information, proximity, and mobility inferences may also influence the matching. Relationships with varying degree of affinity between matched people may be generated in accordance with the inferences. Explanations for the suggested matches may be delivered to the matched people. | 12-08-2011 |
20110302134 | People Matching in Subscription-based Communities - A people matching system and method matches people in computer-implemented communities in which users subscribe to information generated by other users. The computer-generated suggested matches may be based on inferences of mutual interests, as well as on factors such as proximity and environmental conditions. The inferences of mutual interest may be based on behaviors such as subscriptions and physiological responses. Explanations for the suggested matches may be delivered to users. | 12-08-2011 |
20110302208 | Search-based People Matching System and Method - A people matching system and method matches people in response to a search request. The computer-generated suggested matches may be based on inferences of mutual interests, as well as on factors such as proximity and environmental conditions. The inferences of mutual interest may be based on behaviors such as subscriptions and physiological responses. Explanations for the suggested matches may be delivered to users, including behavioral information on which the suggested matches are based. | 12-08-2011 |
20110302209 | Proximity-based People Matching System and Method - A people matching system and method matches people in accordance with inferences of mutual interests, location, and/or proximity. Suggested matches may also be based on factors such as mobility inferences and environmental conditions. Inferences of mutual interests may be based on behavioral information. Explanations for the suggested matches may be delivered to users, including behavioral information on which the suggested matches are based. | 12-08-2011 |
20120030028 | System and Method for Adaptive Soundtracks - A system and method for computer-implemented adaptive soundtracks selects and arranges songs in media instances in accordance with inferred preferences based, at least in part, on usage behaviors. Variations of the system and method include automatically selecting and/or arranging the songs in accordance with the contents of the songs, the tagging of the songs, a physical location, and physiological responses. Information as to why songs were selected for inclusion in media instances may be provided to media instance recipients. | 02-02-2012 |
20120030029 | System and Method for Adaptive Videos - A system and method for computer-implemented adaptive videos selects and arranges video elements in media instances in accordance with inferred preferences based, at least in part, on usage behaviors. Variations of the system and method include automatically selecting and/or arranging the video elements in accordance with the contents of the video elements, physical location, and physiological responses. Soundtracks may be selected in accordance with selected video elements. Information as to why video elements were selected for inclusion in media instances may be provided to media instance recipients. | 02-02-2012 |
20120030030 | System and Method for Adaptive Media Instances - A system and method for computer-implemented adaptive media instances selects and arranges objects in media instances in accordance with inferred preferences based, at least in part, on usage behaviors, including subscriptions to objects representing people. Variations of the system and method include automatically selecting and/or arranging the objects in accordance with the contents of the objects, tagging of the objects, physical location, and physiological responses. Information as to why objects were selected for inclusion in media instances may be provided to media instance recipients. | 02-02-2012 |
20120030063 | Physical Site-Contextualized Recommender - A site-contextualized method, system, and device generates recommendations based on usage behaviors and a physical site layout. The recommendations may comprise one or more products, and a recommendation may be accompanied with an associated price. The recommendations may be based on an inference of a preference and/or in accordance with a physical object. Information as to why the recommendation was delivered to a recommendation recipient may be provided to the recommendation recipient. | 02-02-2012 |
20120030064 | Physiological-Responsive Recommender System and Device - A physiological-responsive computer-implemented system and device generates recommendations based on usage behaviors, including physiological responses such as body movements and gestures. The recommendations may be based on an inference of a preference and/or in accordance with the location or proximity of a physical object, and may be delivered in the context of the recommendation recipient interacting with a computer-implemented game. Information as to why the recommendation was delivered to a recommendation recipient may be provided to the recommendation recipient. | 02-02-2012 |
20120030620 | Temporally Sequenced Recommendations in Subscription-Based Systems - A system and method for temporally sequenced recommendations in subscription-based systems delivers to users of a subscription-based system multiple recommended objects that are arranged in a temporal sequence. The delivered recommended objects are in accordance with user subscriptions and/or inferences of preferences that are based, at least in part, on usage behaviors. Variations of the system and method include delivering recommended objects in accordance with the contents of the objects and user direct feedback with regard to the objects. Information as to why objects were delivered to users may be provided to the users. | 02-02-2012 |
20120030621 | Temporally Sequenced Adaptive Recommendations of Activities - A system and method for temporally sequenced recommendations of activities delivers to users temporally sequenced objects comprising user activities, wherein the delivered objects are selected based, at least in part, on inferences of preferences from usage behaviors. The delivered objects may include activities associated with processor-based devices in addition to human activities. Variations of the system and method include delivering the temporally sequenced objects in accordance with the contents of the objects and user feedback with regard to the objects. Information as to why objects were delivered to users may be provided to the users. | 02-02-2012 |
20120035969 | Context-Conditional Recommendation Receipt System - A computer-implemented context-conditional recommendation receipt method, system, and device conditionally enable receipt of recommendations that are based on inferred preferences, given a sufficient contextual basis. The contextual basis may include factors such as location, supplier contextual information, and/or product attributes. The recommendations may be generated by another processor-based device, and may comprise one or more products and a corresponding price. Information as to why the recommendation was delivered to a recommendation recipient may be provided to the recommendation recipient. | 02-09-2012 |
20120035970 | Context-Conditional Recommendation Delivery System - A computer-implemented context-conditional recommendation delivery method, system, and device conditionally enable delivery of recommendations that are based on inferred preferences, given a sufficient contextual basis. The contextual basis may include factors such as location, customer contextual information and/or supplier contextual information. The recommendations may be delivered to another processor-based device, and may comprise one or more products and a corresponding price. Information as to why the recommendation was delivered to a recommendation recipient may be provided to the recommendation recipient. | 02-09-2012 |
20120035976 | Expertise-Responsive Adaptive Workflow System and Method - A computer-implemented system and method for expertise-responsive adaptive workflow delivers workflow step recommendations based, at least in part, on inferences from behavioral information and a level of expertise. Experts may be designated manually or automatically, and may inform the generation of the recommendations. The degree to which behavioral information of designated experts influences recommendations may be tuned by recommendation recipients. Variations of the system and method include generating the recommendations in accordance with physiological responses and/or monitored physical locations. Information as to why recommendations were delivered to recommendation recipients may be provided to the recommendation recipients. | 02-09-2012 |
20120035985 | Adaptive Pricing System and Method - A computer-implemented system and method for adaptive pricing determines a price that is associated with one or more recommended products and/or product configurations based, at least in part, on inferences from behavioral information. The price may be further determined in accordance with factors such as location, product costs, inventory levels, a physical site, and/or a bidding process. | 02-09-2012 |
20120036020 | System and Method for Adaptive Games - A system and method for computer-implemented adaptive games selects and arranges game objects in game instances in accordance with inferred preferences based, at least in part, on usage behaviors. Variations of the system and method include automatically selecting and/or arranging the game objects in accordance with the contents of the game objects, physical location, and physiological responses. Soundtracks may be selected in accordance with selected game objects. Information as to why game objects were selected for inclusion in game instances may be provided to game instance recipients. | 02-09-2012 |
20120089915 | Method and Device for Temporally Sequenced Adaptive Recommendations of Activities - A method and device for temporally sequenced recommendations of activities delivers to users temporally sequenced objects comprising user activities, wherein the delivered objects are selected based, at least in part, on inferences of preferences from usage behaviors. The delivered objects may include activities associated with processor-based devices in addition to human activities. Variations of the system and method include delivering the temporally sequenced objects in accordance with the contents of the objects and user feedback with regard to the objects. Information as to why objects were delivered to users may be provided to the users. | 04-12-2012 |
20120096155 | Subscription-based Temporally Sequenced Recommendations - A method and system for temporally-sequenced recommendations in subscription-based systems delivers to users of a subscription-based system multiple recommended objects that are arranged in a temporal sequence. The delivered recommended objects are in accordance with user subscriptions and/or inferences of preferences that are based, at least in part, on usage behaviors. Variations of the system and method include delivering recommended objects in accordance with the contents of the objects and user direct feedback with regard to the objects. Information as to why objects were delivered to users may be provided to the users. | 04-19-2012 |
20120101976 | Temporally Sequenced Recommendations and Associated Explanations in Subscription-based Systems - A computer-implemented method and system for temporally sequenced recommendations and associated explanations in subscription-based systems delivers to users of a subscription-based system multiple recommended objects that are arranged in a temporal sequence. The delivered recommended objects are in accordance with user subscriptions and inferences of preferences that are based, at least in part, on usage behaviors. Variations of the system and method include delivering recommended objects in accordance with the contents of the objects and user direct feedback with regard to the objects. Information as to why objects were delivered to users is provided to the users. | 04-26-2012 |
20120254074 | Contextually Transformed Learning Layer - A computer-implemented transformational protocol is applied to contextually transform an originating computer-implemented structure into a fuzzy network-based structure. The originating structure may be a hierarchy, for example. The fuzzy network-based structure is adaptively modified based on behavioral information, and recommendations delivered to users may be generated in accordance with the fuzzy network-based structure and inferences from a plurality of usage behaviors. The recommendations may be generated in accordance with a network neighborhood within the fuzzy network-based structure that is based, at least in part, on a navigational context within the originating structure. | 10-04-2012 |
20120254075 | Contextually Integrated Learning Layer - A computer-implemented transforming function contextually transforms multiple originating computer-implemented structures into a composite fuzzy network-based structure. The composite fuzzy network-based structure serves as a contextual basis for recommendations. The recommendations may be generated in accordance with inferences of preferences and interests based on usage behaviors. The recommendations may further be generated in accordance with a network neighborhood within the composite fuzzy network-based structure that is based, at least in part, on a navigational context within an originating structure and a user-established navigational neighborhood scope. | 10-04-2012 |
20120254079 | Serendipitous Recommendations System and Method - A computer-implemented serendipitous recommendations system and method generates recommendations for delivery to system users in accordance with settings of desired levels of serendipity, including serendipity levels established through use of serendipity tuning controls operable by users. The recommendations are informed by an interest affinity anomaly function that identifies contrasting interest affinities between recommendation recipients and other users. Explanations may be generated that provide reasons as to why a recommendation was delivered to a user, and the explanation may include a selection of phrases that are influenced by a serendipity level setting, and may include an expression of a level of confidence with regard to the recommendation. | 10-04-2012 |
20120254094 | Contextual Scope-Based Discovery Systems - A computer-implemented discovery system applies a contextual neighborhood scope with respect to a fuzzy network-based structure, and generates recommendations in accordance with the resulting contextual neighborhood and inferences from behavioral information. The contextual neighborhood scope may be established by a user, and the basis for the contextual neighborhood may be in accordance with an object that is accessed by a user. The inferences may be embodied in affinity vectors, and may include inferences of user preferences and levels of expertise. | 10-04-2012 |
20120254095 | Expertise Discovery Methods and Systems - A computer-implemented expertise discovery method and system generates recommendations of people in accordance with inferences of levels of expertise from behavioral information. The generation of the recommendations may be in accordance with comparisons of two or more expertise vectors and associated correlations between the vectors. The inferences of expertise may be with respect to specified topical neighborhoods. Explanations as to why recommendations were made are delivered to the recommendation recipients, and may include references to the inferred levels of expertise, the behavioral bases for the inferences, and/or the confidence in the inferences. | 10-04-2012 |
20120254096 | Portable Inferred Interest and Expertise Profiles - A computer-implemented portable inferred interests and expertise profiling system generates an inferred user profile embodied as an inference vector, which is generated based on inferences from behavioral information and in accordance with standardized tags that are associated with topical areas in a first system. The inferences may be of, for example, interests or levels of expertise. Recommendations are then generated based on the inference vector and a different set of topics. Multiple inference vectors may be combined into a composite inference vector, which can serve as a basis for recommendations generated with respect to different sets of topics than those that informed the generation of the composite inference vector. | 10-04-2012 |
20120254097 | Activity Stream-Based Recommendations System and Method - A computer-implemented activity stream-based recommendations system delivers recommendations in accordance with a selected item of an activity stream, inferences of interests based on usage behaviors, and a contextual neighborhood of objects. In addition, or alternatively, the recommendations may be generated in accordance with an inference of expertise. The contents of the objects in the activity stream may be generated by humans or automatically by a processor-based device. Explanations for the recommendations may be delivered to recommendation recipients. | 10-04-2012 |
20120254098 | Adaptive Expertise Clustering System and Method - A computer-implemented adaptive expertise clustering system and method generates expertise cohorts based on inferences from behavioral information and applies the expertise cohorts in generating recommendations for delivery to users. The expertise clustering may be informed by the evaluation of the contents of computer-implemented objects. Behaviors associated with members of specific expertise cohorts after specific events may inform the recommendations. Recommendations may comprise, for example, other users or process steps. Explanations for the recommendations may be provided to recommendation recipients. | 10-04-2012 |
20120254099 | INTEGRATED INTEREST AND EXPERTISE-BASED DISCOVERY SYSTEM AND METHOD - An integrated interest and expertise-based discovery system and method infers interest and expertise levels of users and generates recommendations for delivery to the users in accordance with the inferred interest and expertise levels. The inferences of expertise may be relative to other users and may be combined with expertise calibration information in generating expected expertise levels for users with respect to one or more topics. The generation of recommendations may be informed by the degree of inferred interest in topical areas, by the comparison of expertise levels among users, and by information regarding the user expertise levels that are appropriate with respect to specific items of content. Explanations may be provided to recommendation recipients as to why they received recommendations. | 10-04-2012 |
20120290518 | INTEGRATED SEARCH AND ADAPTIVE DISCOVERY SYSTEM AND METHOD - An integrated search and adaptive discovery system and method integrates contents-based indexing and behavioral-based indexing of collections of computer-implemented objects to generate contextualized and/or personalized recommendations. The degree to which contextualization and/or personalization criteria are applied in generating recommendations can be tuned by the recommendation recipient. Personalization functions are applied that are informed by inferred interests and/or expertise, and personalization vectors can be transformed into a format executable by a search engine. Explanations may be provided to recommendation recipients as to why they received recommendations. | 11-15-2012 |
20130191214 | Adaptive Product Bundling and Pricing System and Method - A computer-implemented system and method for adaptive product bundling and pricing determines a bundle of products, or a configuration of one or more products, and a price for the bundle or configuration, based on behavioral information associated with one or more users of one or more computer-implemented systems. The product bundle or configuration prices may be further determined in accordance with inferences of price sensitivities, pricing experimentations, expectations of future transactions, inventory levels, costs, and collective price formation processes. | 07-25-2013 |
20130311501 | Relationship-based People Matching System and Method - A relationship-based people matching system and method matches people in accordance with inferences of preferences from usage behaviors that include the explicit establishing of relationships, including directionally distinct relationships, by users. The usage behaviors may further comprise behaviors such as establishing subscriptions and the tagging of computer-implemented objects. The matching may be performed in response to a search request. Expressions of interest between matched people may be performed by the matched people through establishment of computer-implemented relationships. An explanation for the matching of matched people that references computer-implemented relationships may be delivered. | 11-21-2013 |
20130339450 | Location-based People Matching System and Method - A location-based matching system and method matches users of a computer-implemented system in accordance with inferences of mutual interest between the users, whereby the inferences of mutual interest are based on mutual computer-implemented relationships and user location information. Inferences of mutual interest may also be in accordance with a physical object. The inferences of mutual interest may be with respect to interests by users in being physically proximal to each other or being physically proximal to a location associated with one of the users. Information associated with user matches may be delivered to a matched user in the form of a computer-implemented map. | 12-19-2013 |
20140082082 | Mutual Expressions of Interest-based People Matching System and Method - A mutual expressions of interest people matching system and method recommends people to other people in accordance with inferences of mutual interests from usage behaviors. A person who receives a recommendation can express an interest to a recommended person, and the expression of interest can be an explicit indication of interest in establishing a computer-implemented relationship or the establishing of a directional distinct relationship between the recommended person and the recommendation receiver. The recommended person can in response express an interest to the recommendation receiver by establishing a computer-implemented relationship between the parties. The relationship between the parties may be a subscription-based relationship and explanations for the recommendations may be provided to recommendation receivers. | 03-20-2014 |
20140108325 | Comparative Expertise Level-based Discovery System and Method - A comparative expertise level-based discovery system infers an expertise level associated with a system user from a plurality of usage behaviors and compares this expertise level with expertise levels associated with computer-implemented objects. One or more of the computer-implemented objects are selected for delivery to the user in accordance with a comparison of the inferred expertise level of the user and the expertise levels associated with the computer-implemented objects. The expertise levels associated with the computer-implemented objects may be inferred from information within the objects such as text and/or may be inferred from usage behaviors. Inferences of interests of the user may further inform the selection of one or more of the computer-implemented objects for delivery to the user. Explanations for the delivery of the computer-implemented objects may be provided to the user. | 04-17-2014 |
20140195464 | Multi-Social Network Discovery System and Method - A multi-social network discovery system and method enables users to select multiple social networks comprising activity streams and to receive recommendations sourced from the selected multiple social networks. The multi-social network discovery system and method generates affinity values based on inferred affinity levels between topics, which may be associated with tags, and objects that are associated with the activity streams. The inferred affinity values may be derived from usage behaviors such as tagging and/or based on an automatic analysis of the content of the objects. The affinity values inform the selection of the objects to be recommended to a user, and the selection may be further informed by inferred affinity levels between the user and the topics. The recommendations may be tuned by the user through application of a recommendation tuning control. | 07-10-2014 |
20140358832 | Personalized Activity Stream Discovery System, Method, and Device - A personalized activity stream system, method, and device delivers a recommendation that is contextualized basis a selected item in an activity stream and that is personalized for a recommendation recipient consistent with an inference of the recommendation recipient's interests. Contextualization and personalization may be based on an automatic analysis of usage behaviors and/or content. The recommendation may be informed by an inference of an expertise level, and an explanation for the recommendation may be delivered to the recommendation recipient. The recommendation may be in accordance with an automatically determined geographic location associated with a location-aware portable device, as well as environmental conditions proximal to the portable device. | 12-04-2014 |
20140358842 | Content-based Expertise Level Inferencing System and Method - A content-based expertise level inferencing system and method analyzes content such as text-based content that is associated with a user and infers an expertise level of the user that is associated with a topic. Language-based analytic techniques may be applied in inferring the expertise level, including the application of domain-specific vocabulary and frequency analyses. The expertise level may be further inferred based on usage behaviors of the user and/or other users. Calibration information may be applied in generating the inference of the expertise level. Recommendations may be generated based on the inferred expertise level, and explanations for the recommendation and/or the inference may be generated for delivery to a recommendation recipient. | 12-04-2014 |
20140365421 | Directed Expertise Level-Based Discovery System, Method, and Device - A directed expertise level-based discovery system, method, and device infers an expertise level associated with a system user from a plurality of usage behaviors and delivers one or more computer-implemented objects to the user that are selected in accordance with the inferred expertise level and a directionally distinct relationship between computer-implemented objects. The directed expertise level-based discovery system, method, and device may infer the expertise level from textual information and/or in accordance with calibration information such as test results. Geographic location awareness associated with a portable device may inform the selection of the computer-implemented objects to be delivered to the user. An explanation may be delivered to the user that references information that is used to inform the selection of the computer-implemented objects to be delivered to the user. | 12-11-2014 |