Abstract: An online system generates implied links between objects distributed by the online system based on a plurality of users' behaviors with respect to the objects. For a behavior of a user with respect to an object that satisfies a link criterion, the online system identifies a connection between the user and the object. Local object graphs are generated to represent the relationships between the objects connected to each user, and the local object graphs are merged into a global object graph. An adjacency matrix is extracted from the global object graph as a representation of the strength of relationships between the objects distributed by the online system. The online system may then apply graph analysis techniques to the adjacency matrix, thereby analyzing the relationships between the objects without relying upon explicit links between the objects.

Abstract: A digital magazine application executing on a client device presents a digital magazine to a user including content items retrieved from one or more sources based on information associated with the user. When presenting the digital magazine, a cover is presented including an image and one or more headlines describing one or more content items included in the digital magazine. The cover may be generated by clustering content items included in the digital magazine and ranking content items in various clusters based on their characteristics. Based on the rankings, information describing content items from various clusters is included on the cover. Alternatively, the cover includes information describing content items identified based on the order in which the content items are presented by the digital magazine.

Abstract: An online system generates implied links between objects distributed by the online system based on a plurality of users' behaviors with respect to the objects. For a behavior of a user with respect to an object that satisfies a link criterion, the online system identifies a connection between the user and the object. Local object graphs are generated to represent the relationships between the objects connected to each user, and the local object graphs are merged into a global object graph. An adjacency matrix is extracted from the global object graph as a representation of the strength of relationships between the objects distributed by the online system. The online system may then apply graph analysis techniques to the adjacency matrix, thereby analyzing the relationships between the objects without relying upon explicit links between the objects.

Abstract: An online system generates implied links between objects distributed by the online system based on a plurality of users' behaviors with respect to the objects. For a behavior of a user with respect to an object that satisfies a link criterion, the online system identifies a connection between the user and the object. Local object graphs are generated to represent the relationships between the objects connected to each user, and the local object graphs are merged into a global object graph. An adjacency matrix is extracted from the global object graph as a representation of the strength of relationships between the objects distributed by the online system. The online system may then apply graph analysis techniques to the adjacency matrix, thereby analyzing the relationships between the objects without relying upon explicit links between the objects.

Abstract: A topical search computer system identifies topics from various definitional (i.e., data) sources. The system generates a catalog of different topics from the data sources. Topics with similar names are differentiated by the system based on the context in which each topic is used. The context for a topic is represented by a context vector, which describes the co-occurrence relationships between the topic and other topics derived from the data sources. Because the system has computed a context for each topic, the system can provide improved search results responsive to user queries for information.

Abstract: A topical search computer system identifies topics from various definitional (i.e., data) sources. The system generates a catalog of different topics from the data sources. Topics with similar names are differentiated by the system based on the context in which each topic is used. The context for a topic is represented by a context vector, which describes the co-occurrence relationships between the topic and other topics derived from the data sources. Because the system has computed a context for each topic, the system can provide improved search results responsive to user queries for information.

Abstract: A user configurable interface view can be generated for a media device or other information handling system that is independent of any interface views defined by media content providers. Generating the user configurable interface view includes identifying content data streams that are included in user interface views defined by the media content providers and then selecting a desired subset of the data content streams. The selected data content streams are then aggregated and the user configurable interface view is generated. The resulting user interface view will be independent of any interface views defined by the media content providers.

Abstract: A topical search computer system identifies topics from various definitional (i.e., data) sources. The system generates a catalog of different topics from the data sources. Topics with similar names are differentiated by the system based on the context in which each topic is used. The context for a topic is represented by a context vector, which describes the co-occurrence relationships between the topic and other topics derived from the data sources. Because the system has computed a context for each topic, the system can provide improved search results responsive to user queries for information.

Abstract: Connections between an online system user and one or more social networking system users maintained by various social networking systems are analyzed to determine social proximity between the online system user and social networking system users connected to the online system user via a social networking system. Social networking system users connected to the online system user via each of a plurality of social networking systems are identified. Based on a number of social networking system users connected to both the online system user and to a social networking system user connected to the online system user, a social proximity score indicating relative social “closeness” of the digital magazine server user and the social networking system user connected to the digital magazine server user is generated.

Abstract: Syndicated descriptions of web content are obtained from feeds. For each item of each feed, a link is followed to a content page, and it is determined whether the content page directly or indirectly points back to the feed. If so, the description of the item from the feed is stored as an authorized description with a canonical form of the link to the item. Subsequently, when an item of user-generated content that includes a link to web content is received, the link to the web content is canonicalized. Based on the canonicalized link, any stored authorized syndicated descriptions of the linked content is obtained. If more than one authorized syndicated description of an item of linked content is available, one is selected. Then, the item of user-generated content containing a link can be published with an authorized syndicated description of the linked content.

Abstract: An online system generates implied links between objects distributed by the online system based on a plurality of users' behaviors with respect to the objects. For a behavior of a user with respect to an object that satisfies a link criterion, the online system identifies a connection between the user and the object. Local object graphs are generated to represent the relationships between the objects connected to each user, and the local object graphs are merged into a global object graph. An adjacency matrix is extracted from the global object graph as a representation of the strength of relationships between the objects distributed by the online system. The online system may then apply graph analysis techniques to the adjacency matrix, thereby analyzing the relationships between the objects without relying upon explicit links between the objects.

Abstract: A topical search computer system identifies topics from various definitional (i.e., data) sources. The system generates a catalog of different topics from the data sources. Topics with similar names are differentiated by the system based on the context in which each topic is used. The context for a topic is represented by a context vector, which describes the co-occurrence relationships between the topic and other topics derived from the data sources. Because the system has computed a context for each topic, the system can provide improved search results responsive to user queries for information.

Abstract: Discovering content on a device. Content stored on a device can be examined or searched based on the programming of channels that are available to the device. The content can be searched using other rules related to user preferences. Based on the results of the examination of the content, playlists are generated. Each playlist includes content from the device that matches or partially matches the content associated with one of the channels. Using the playlists, a user can load content from their device that has a theme consistent with a particular channel. The playlists can also be used to tune to the channels associated with the playlists and thereby discover the content on those channels.

Abstract: An online system generates implied links between objects distributed by the online system based on a plurality of users' behaviors with respect to the objects. For a behavior of a user with respect to an object that satisfies a link criterion, the online system identifies a connection between the user and the object. Local object graphs are generated to represent the relationships between the objects connected to each user, and the local object graphs are merged into a global object graph. An adjacency matrix is extracted from the global object graph as a representation of the strength of relationships between the objects distributed by the online system. The online system may then apply graph analysis techniques to the adjacency matrix, thereby analyzing the relationships between the objects without relying upon explicit links between the objects.

Abstract: A topical search computer system identifies topics from various definitional (i.e., data) sources. The system generates a catalog of different topics from the data sources. Topics with similar names are differentiated by the system based on the context in which each topic is used. The context for a topic is represented by a context vector, which describes the co-occurrence relationships between the topic and other topics derived from the data sources. Because the system has computed a context for each topic, the system can provide improved search results responsive to user queries for information.

Abstract: A user configurable interface view can be generated for a media device or other information handling system that is independent of any interface views defined by media content providers. Generating the user configurable interface view includes identifying content data streams that are included in user interface views defined by the media content providers and then selecting a desired subset of the data content streams. The selected data content streams are then aggregated and the user configurable interface view is generated. The resulting user interface view will be independent of any interface views defined by the media content providers.

Abstract: Discovering content on a device. Content stored on a device can be examined or searched based on the programming of channels that are available to the device. The content can be searched using other rules related to user preferences. Based on the results of the examination of the content, playlists are generated. Each playlist includes content from the device that matches or partially matches the content associated with one of the channels. Using the playlists, a user can load content from their device that has a theme consistent with a particular channel. The playlists can also be used to tune to the channels associated with the playlists and thereby discover the content on those channels.

Abstract: Embodiments of the invention relate to systems and methods for generating a user configurable interface view for a media device or other information handling system that is independent of any interface views defined by media content providers. Generating the user configurable interface view includes identifying content data streams that are included in user interface views defined by the media content providers and then selecting a desired subset of the data content streams. The selected data content streams are then aggregated and the user configurable interface view is generated. The resulting user interface view will be independent of any interface views defined by the media content providers.

Abstract: Discovering content on a device. Content stored on a device can be examined or searched based on the programming of channels that are available to the device. The content can be searched using other rules related to user preferences. Based on the results of the examination of the content, playlists are generated. Each playlist includes content from the device that matches or partially matches the content associated with one of the channels. Using the playlists, a user can load content from their device that has a theme consistent with a particular channel. The playlists can also be used to tune to the channels associated with the playlists and thereby discover the content on those channels.

Abstract: An online system generates implied links between objects distributed by the online system based on a plurality of users' behaviors with respect to the objects. For a behavior of a user with respect to an object that satisfies a link criterion, the online system identifies a connection between the user and the object. Local object graphs are generated to represent the relationships between the objects connected to each user, and the local object graphs are merged into a global object graph. An adjacency matrix is extracted from the global object graph as a representation of the strength of relationships between the objects distributed by the online system. The online system may then apply graph analysis techniques to the adjacency matrix, thereby analyzing the relationships between the objects without relying upon explicit links between the objects.