Facebook, Inc.

Julia Lee

Abheek Anand

Ashish Kumar Yadav

Brian Piepgrass

Tony Hsien-yu Liu

Deeptanshu Verma

Several embodiments include a social network system that generates an implicit social graph connection between a first social network object and a second social network object. The implicit social graph connection can be generated based on a shared profile attribute between the social network objects or a user interaction in the social network system. The social network system can store the implicit social graph connection in a social graph of the social network system. The social network system can provide a social network service that selectively presents, based on the implicit social graph connection, a content entry to a client of the social network system.

Implicit social graph connections

A method includes: determining a first user interaction on a social network system; identifying a social network object in the social network system associated with the first user interaction by traversing a social graph of the social network system; identifying a user account based on the first user interaction; generating an implicit social graph connection between the user account and the social network object; and selecting a content entry for displaying to a user device signed-in under the user account or a friend account based on the implicit social graph connection, the friend account socially connected to the user account via the social graph of the social network system.

A method for making entity recommendations to users of a social networking system (SNS) by maximizing a predicted benefit to the SNS through objective value models. The method includes generating a plurality of candidate entities eligible for recommendation, and determining a weight for each candidate entity based upon an output score generated by an objective value model. The objective value model utilizes objectively measurable input values describing the candidate entities and generates larger output scores for those candidate entities that would create larger predicted increases in an objectively measurable amount of benefit for the SNS created by a potential connection being created between the user and the respective candidate entity. One or more entities are selected based upon the determined weights, and an entity recommendation user interface is presented to the user that includes one or more recommendation modules identifying the selected one or more entities.

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Los Altos, CA, United States of America

Julia Lee