Facebook, Inc.

Wei Zhong Yeh

Samuel Wharton Lessin

Daniel Klatzko Gibson

Mark E Zuckerberg

Steven Jay Young

William Joseph Flynn, Iii

Drew Hamlin

Aaron Sittig

Arun Vijayvergiya

Raylene Kay Yung

Paul M McDonald

Jeff Huang

Stefan Casey Parker

Josh Wiseman

Aigerim Shorman

Benjamin E Hiller

Zizhuang Yang

Michael Hudack

Thomas Andrew Watson

Jack J Murray

Burak Guzel

Jeffrey Lin

Jiawen Connie Yang

Dustin S Ho

Alisha S Outridge

Eric Andrew Shrewsberry

Jason Fotinatos

William Joseph Flynn

Drew W Hamlin

Paul M Mcdonald

Stefan Parker

In one embodiment, a method includes accessing one or more content objects associated with a first user of an online social network; generating a set of tag candidates by extracting one or more n-grams from the content objects, wherein each tag candidate comprises one or more text strings or ideograms from the extracted n-grams; calculating, for each tag candidate of the set of tag candidates, a quality-score for the tag candidate based on an affinity coefficient between the first user and a respective content object from which the n-grams or ideograms comprising the tag candidate were extracted; and sending, to a client system for display, one or more of the tag candidates as suggested tags for the first user, wherein each suggested tag has a quality-score greater than a threshold quality-score.

Suggesting tags on online social networks

A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

Providing a claims-based profile in a social networking system

The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

Displaying social networking system user information via a timeline interface

Growing community of inventors

Cupertino, CA, United States of America

Wei Zhong Yeh