Abstract: A method includes receiving head-tracking data that describes one or more positions of one or more people while the one or more people are viewing a three-dimensional video. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the head-tracking data, and generating optimal segment parameters that minimize a sum-over position for the region of interest.

Abstract: A digital magazine identifies content items for recommendation to a user by determining the address information of one or more content items. The address information of a content item identifies a source from which the content item was received and additional information describing the content item. Representations of content items are generated from the address information for each content item. Additionally, representations of content items previously presented to the user are generated from the address information for the previously presented content items. A measure of similarity between a representation of a content item and a representation of a previously presented content item is determined and used to select content items to present to the user.

Abstract: A method includes receiving head-tracking data that describes one or more positions of one or more people while the one or more people are viewing a three-dimensional video. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the head-tracking data, and generating optimal segment parameters that minimize a sum-over position for the region of interest.

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 method includes receiving head-tracking data that describes one or more positions of one or more people while the one or more people are viewing a three-dimensional video. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the head-tracking data, and generating optimal segment parameters that minimize a sum-over position for the region of interest.

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 method includes receiving head-tracking data that describes one or more positions of one or more people while the one or more people are viewing a three-dimensional video. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the head-tracking data, and generating optimal segment parameters that minimize a sum-over position for the region of interest.

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 method includes receiving head-tracking data that describes one or more positions of one or more people while the one or more people are viewing a three-dimensional video. The method further includes generating video segments from the three-dimensional video. The method further includes, for each of the video segments: determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane, determining a cost function that identifies a region of interest on the plane based on the head-tracking data, and generating optimal segment parameters that minimize a sum-over position for the region of interest.

Abstract: A digital magazine server allows its users to create digital magazines by including content items in sections of one or more digital magazines. For various pairs of digital magazines, the digital magazine server determines a score based on a number of content items added to a digital magazine that were previously added to an additional digital magazine in a pair. The score indicates a frequency that the additional digital magazine added content items before the digital magazine. Digital magazines may be ranked for a user based on the scores, with the ranking used to recommend digital magazines or other users to the user. Further, the scores and connections between digital magazines may be used to create an influence score for various digital magazines.

Abstract: A digital magazine server allows its users to create digital magazines by including content items in sections of one or more digital magazines. For various pairs of digital magazines, the digital magazine server determines a score based on a number of content items added to a digital magazine that were previously added to an additional digital magazine in a pair. The score indicates a frequency that the additional digital magazine added content items before the digital magazine. Digital magazines may be ranked for a user based on the scores, with the ranking used to recommend digital magazines or other users to the user. Further, the scores and connections between digital magazines may be used to create an influence score for various digital magazines.

Abstract: A digital magazine server allows its users to create digital magazines by including content items in sections of one or more digital magazines. For various pairs of digital magazines, the digital magazine server determines a score based on a number of content items added to a digital magazine that were previously added to an additional digital magazine in a pair. The score indicates a frequency that the additional digital magazine added content items before the digital magazine. Digital magazines may be ranked for a user based on the scores, with the ranking used to recommend digital magazines or other users to the user. Further, the scores and connections between digital magazines may be used to create an influence score for various digital magazines.

Abstract: A digital magazine server allows its users to create digital magazines by including content items in sections of one or more digital magazines. For various pairs of digital magazines, the digital magazine server determines a score based on a number of content items added to a digital magazine that were previously added to an additional digital magazine in a pair. The score indicates a frequency that the additional digital magazine added content items before the digital magazine. Digital magazines may be ranked for a user based on the scores, with the ranking used to recommend digital magazines or other users to the user. Further, the scores and connections between digital magazines may be used to create an influence score for various digital magazines.

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 server creates cover pages identifying relevant content items relevant to a user. Candidate feeds of content items are identified from various sources, such as user-defined sections of content items, social networking systems, external content providers, and recommended content. The digital magazine server retrieves content items from the candidate feeds and generates clusters including retrieved content items based at least in part on the content elements contained in the content items. The content items in various clusters are scored, and one or more content items are selected from each cluster. The selected content items are placed in a consolidated feed, which is used to create a cover page describing a digital magazine for presentation to a digital magazine server user.

Abstract: A digital magazine server determines a quality score for content items receiving less than a threshold amount of interactions from digital magazine server users. A distribution of quality scores for a content item is determined from quality scores of content items having one or more characteristics matching characteristics of the content item. As users interact with a content item, the distribution of quality scores is modified to reflect the received interaction. The digital magazine server may use the distribution for a content item to determine a quality score for the content item having a specified confidence or the confidence of the content item having a specified quality score.

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 identifies content items for recommendation to a user by determining the address information of one or more content items. The address information of a content item identifies a source from which the content item was received and additional information describing the content item. Representations of content items are generated from the address information for each content item. Additionally, representations of content items previously presented to the user are generated from the address information for the previously presented content items. A measure of similarity between a representation of a content item and a representation of a previously presented content item is determined and used to select content items to present to the user.

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.