Abstract: The disclosure describes systems and methods for modeling relationships between entities on a network using data collected from a plurality of communication channels including social data, spatial data, temporal data and logical data within a W4 Network. The W4 Network personalizes and automates sorting, filtering and processing of W4COMN communications delivered or requested to be delivered using personalized value-based ranking and encoding of data, which is modeled from the point-of-view (POV) of any specific user, topic or node in the W4 Distributed graph. POV modeling supplies comparative value services to users which entails individuated data models to be aggregated and used in customization and personalization forecasting for each user and their associated data management needs.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: Described herein is a technique for customizing device behavior based on evaluated relationships between a user and the user's environment. User conduct is analyzed based on available sensors, which may include user-facing cameras. The user's environmental context is similarly evaluated based on the available sensors. Conduct and context, as well as any identified relationships between such conduct and context, may be reported to application programs, and may form the basis for customized device behavior.

Abstract: A system and method for distributing media related to a location. The physical location of a media presentation device is received over a network. The physical location of a plurality of end users are identified, via the network, wherein each of plurality of users is associated with a user device capable of storing media files. At least one of the end users is identified who is located in such proximity to the media presentation device that the user can perceive media that presented on the media presentation device. At least one media file that is currently being presented on the media presentation device is identified and transmitted over the network to each of the identified end users.

Abstract: The disclosure describes systems and methods for modeling relationships between entities on a network using data collected from a plurality of communication channels including social data, spatial data, temporal data and logical data within a W4 Network. The W4 Network personalizes and automates sorting, filtering and processing of W4COMN communications delivered or requested to be delivered using personalized value-based ranking and encoding of data, which is modeled from the point-of-view (POV) of any specific user, topic or node in the W4 Distributed graph. POV modeling supplies comparative value services to users which entails individuated data models to be aggregated and used in customization and personalization forecasting for each user and their associated data management needs.

Abstract: Techniques for content customization with security for client preferences are described herein. The techniques describe the customization of content provided by websites according to preferences, such as the interests, “likes” and demographic and/or geographic information of users. Additional techniques describe aspects of keeping the users' preferences secure from the website, so that the users' privacy and anonymity are protected. In one implementation, a “trusted entity” is trusted by users to obtain and store the preferences. Content may be obtained by the trusted entity from a content provider, such as a website. The content may be changed according to the preferences. The content is then provided to the users. In view of the changes made by the trusted entity, the user enjoys a customized version of the content. Additional techniques describe limits to customization, based on permissible customizations and frameworks generated by the content providers.

Abstract: Users may choose to have their behavior analyzed in order to infer default sharing permission settings for documents and other information maintained in one or more computer systems. This may increase information security for the users and streamline implementation of privacy and/or sharing permissions. The default sharing permissions are implemented by a computer system as soft permissions that may be used to determine which documents are to be shared with which recipients. The soft permissions may address sharing situations for which a user has not expressly indicated his or her sharing rules. The soft permissions may change over time in response to changing user behavior and/or the soft permissions may be revised in light of user feedback.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: A system and method for automated service recommendations. A request is received over a network, from a user for service recommendations, wherein the request comprises an identification of the user and at least one service selection criteria. A query is formulated so as to search, via the network, for user profile data, spatial data, temporal data, social data and topical data that is available via the network and relates to the requesting user, the service selection criteria and to a plurality of services available via the network so as to a identify a subset of the plurality of services available via the network that relate to the request. A list of the identified subset of services is transmitted, via the network, to the requesting user. A selection of at least one of the selected subset of services available received from the user and the user is enrolled in the selected service.

Abstract: The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data.

Abstract: The disclosure describes systems and methods for disambiguating a non-unique identifiers of real world entities (RWEs) detected by a computing network by dynamically identifying relationships between RWEs known to the network. The relationships are determined based on social, spatial, temporal and logical information known about the RWEs based on the RWEs previous interactions with the network. These relationships are then used to generate a probability for each RWE that the non-unique identifier identifies that RWE. Based on the probabilities an RWE is selected and the proper network identifier may be used in place of the non-unique identifier.

Abstract: A system and method for verified presence tracking. A request for a location is received over a network. The request comprises a request type, a request source and at least one request target. Location data relating to the request targets is retrieved from a plurality of location data sources. The reliability of the retrieved location data is determined. A response is formulated using based on the request type, the retrieved location data, and the determined reliability of the retrieved location data. The response is then transmitted over the network to the request source.

Abstract: A system and method for context based query augmentation. A question is received over a network from a questioning user comprising an identification of a user and at least one question criteria. A first query is formulated so as to search, via the network, for user profile data, social network data, spatial data, temporal data and topical data so as to identify user context data relevant to question criteria. The question is modified using the user context data to create at least one modified question having at least one additional criteria based on the user context data. A second query is formulated so as to search, via the network, for knowledge data, user profile data, social network data, spatial data, temporal data and topical data so as to identify knowledge data relevant to the identified user and the modified question criteria. The knowledge data is transmitted, over the network, to the questioning user.

Abstract: Information regarding a mobile user's context including but not limited to current mobile activity, social relations and associations history, and past mobile, search and browsing history is identified and converted to metadata. Metadata is also applied to content sources delivering content to a search engine or personalized content engine. The metadata is used in part to determine the relative display of content objects delivered to the mobile user as search results or a personalized aggregated information resource, e.g., home page. The user may select information, from one or more entities or search results or as presented to the user in other contexts, to be automatically delivered to the user's home page as a content feed including multiple content objects or content feeds associated with an entity. Information regarding mobile user activity is compiled and used to permit publishers and advertisers to identify target candidates to receive advertisements or marketing materials.

Abstract: A system and method for Context Enhanced Mapping. A request is received from a user over a network for a map comprising an identification of a physical location, and at least one criteria. The physical location is mapped. Spatial, temporal, topical, and social data available to the network relating to the physical location and criteria is retrieved using a global index of data available to the network and prioritized for inclusion based upon the user and context of the request. The map of the physical location and at least some of the retrieved spatial, temporal, topical, and social data is displayed on a user interface.

Abstract: A system and method for Context Enhanced Mapping. A request is received from a user over a network for a map comprising an identification of a physical location, and at least one criteria. The physical location is mapped. Spatial, temporal, topical, and social data available to the network relating to the physical location and criteria is retrieved using a global index of data available to the network and prioritized for inclusion based upon the user and context of the request. The map of the physical location and at least some of the retrieved spatial, temporal, topical, and social data is displayed on a user interface.

Abstract: A system and method for deriving income from URL based context queries. A URL based user context query is received over a network from a user, wherein the user context comprises at least one user context criteria. A query is formulated based on the context criteria so as to search for user profile data, social network data, spatial data, temporal data, topical data and context query bid data that is available via the network and relates to the context so as to identify entries in a context query bid database that relate to user context criteria. A dynamic webpage is generated having content relating to the query and advertisements associated with the selected bid are inserted into the webpage. The dynamic webpage is transmitted to the user. The advertiser associated with the selected bid is charged a fee when a user interface event relating to the dynamic webpage occurs.

Abstract: The disclosure describes systems and methods for disambiguating a non-unique identifiers of real world entities (RWEs) detected by a computing network by dynamically identifying relationships between RWEs known to the network. The relationships are determined based on social, spatial, temporal and logical information known about the RWEs based on the RWEs previous interactions with the network. These relationships are then used to generate a probability for each RWE that the non-unique identifier identifies that RWE. Based on the probabilities an RWE is selected and the proper network identifier may be used in place of the non-unique identifier.

Abstract: The disclosure describes systems and methods for synchronizing data on a network based on temporal, spatial, social and logical data available to the network. The method includes receiving a first information object (IO) containing attributes for a first real-world entity (RWE), the first IO associated with a second RWE; identifying one or more second IOs, each second IO containing one or more attributes for the first RWE and each second IO independently associated with a third RWE; generating a different probability for each IO based on a comparison of contents of the first and second IOs and their associated RWEs; and replacing one or more of the attributes in at least one IO with at least one attribute from a different IO based on the probabilities for each IO.