Facebook, Inc.

Yuankai Ge

Chad E Little

Cameron Marlow

Jeffrey Scott Dunn

Robert William Cathcart

Mukund Narasimhan

Venkataramanan Nandagopal

Mark Pike

Jeffrey Andrew Kanter

Rousseau Newaz Kazi

Rohit Dhawan

Michael Benjamin Nowak

Evan Gabriel Brooks

Omid Aziz

Jonathan B Gheller

Tony Hsien-yu Liu

Matthew Ethan Warshauer

Daniel Dinu

Bradley Wu

Stefanie Lynn Ostrowski

Brady R Lauback

John Jarman Rogers, Jr

Barton David Smith

Paritosh Aggarwal

A social networking system identifies a user's relative preference for objects maintained by the social networking system, such as pages associated with movies, restaurants, businesses, or other content. To obtain the user's preferences, the system provides pairs, or groups, of objects to a user and prompts the user to indicate a preference between the objects in each pair. This obtained information about the user's relative preferences is stored in conjunction with the user's profile, which can then be used to select content subsequently presented to the user.

Determining user preference of an object from a group of objects maintained by a social networking system

Exemplary methods, apparatuses, and systems to make suggestions regarding posts are detailed. For example, in an embodiment, a social networking system receives a user post from a first user, publishes the user post on behalf of the first user, receives and tracks interactions by other users with the user post, analyzes the received and tracked interactions to determine suggestion regarding the post, and provides the suggestion regarding the user post to the first user in a graphical user interface.

Systems, methods, and apparatus for post content suggestions

Systems, methods, and non-transitory computer-readable media can determine one or more social networking system anniversary events associated with a first user, the anniversary event having a month and a day that is identical to the current month and day. The one or more anniversary events are filtered using filtering criteria. An indication, such as a notification or a promotion, relating to the one or more anniversary events is generated based on satisfaction of the filtering criteria.

Systems and methods for providing anniversary information

A social networking system leverages user's social information to evaluate content submitted for inclusion in objects. If the evaluated submission is accepted, the submission is added to the content of an object. Accepted submissions are also used to predict associations between metadata and objects. Metadata is used to predict which objects will match user searches for information. The social networking system also provides a user interface configured to prompt users to submit information to objects. When a user completes a submission to an object, the user is provided with other options for groups of objects to contribute to. The objects offered are chosen to increase the likelihood that the user will choose to provide submissions to one of the provided objects.

Metadata prediction of objects in a social networking system using crowd sourcing

A method for improving engagement between users of a social network and entity pages within the social network is described. Historical and real-time user interaction data may be logged and aggregated in order to identify engagement opportunities where notification to fan page owners, posting of a new post, or promotion of a post may increase engagement of users with entities via pages on a social network.

Real-time fan engagement

Posts are ranked for display on a page in a social network environment based on interaction and user score signals associated with the post and a viewing user. The signals for each of the posts are scored, and a ranking score for each post is determined. The posts are ranked in an order for display based on the ranking score and displayed for the viewing user on the page. Posts submitted by other users who have established connections with the viewing user are also filtered for display in a social box on the page.

Social context for a page containing content from a global community

Growing community of inventors

Palo Alto, CA, United States of America

Yuankai Ge