Flipboard, Inc.

Andrew David Walkingshaw

Arthur A Van Hoff

Boris Lev Aleksandrovsky

Markus Breunig

Marcos A Weskamp

Eric I Feng

Johan Prag

Eric Alexander

Raphael Mauro Schaad

Xiaoyu Fei

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.

Identifying similar content on a digital magazine server

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.

Generating an implied object graph based on user behavior

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.

Generating a cover for a section of a digital magazine

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.

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San Francisco, CA, United States of America

Andrew David Walkingshaw