Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An explanatory people matching system and method matches people in accordance with inferences from usage behaviors, and delivers reasons for the matching to the matched people. The usage behaviors may include behaviors such as subscriptions and accesses to computer-implemented objects. The reasons for the matching that are delivered to the matched people may include references to usage behaviors, inferences of common interests, and/or expressions of interest between the matched people. Additional explanatory information may be provided upon request by the matched people.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.