Facebook, Inc.

Chad E Little

Yuankai Ge

Rebekah Marie Cox

Christopher W Putnam

Yishan Wong

Nicolas Vera

Marcel Laverdet

Stephen M Grimm

Ting Yin Kwan

Katherine P Losse

Cameron Marlow

Jeffrey Scott Dunn

Robert William Cathcart

Mukund Narasimhan

Venkataramanan Nandagopal

Javier Olivan Lopez

Mark Pike

Peter Xiu Deng

Srinivas P Narayanan

Alex Li

Namita Gupta

Javier Olivan-Lopez

Katherine Losse

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

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

Embodiments of the invention provide techniques for translating text in a social network. In one embodiment translations of text phrases are received from members of the social network. These text phrases include content displayed in a social networking system, such as content from social networking objects. A particular member is provided with content including a text phrase in a first language, and the member requests translation into another language. Responsive to this request, a translation of the text phrase is selected from a set of available translations. The selection is based on actions by friends of the member in the social network, the actions being associated with the set of available translations. These actions can the viewing of or approval of translations by the friends, for example. The selected translation is then presented to the member requesting the translation.

Community translation on a social network

In one embodiment, a system includes one or more computing systems that implement a social networking environment and are operable to access stored information including a plurality of nodes including a first set of user nodes that each correspond to a respective user and a second set of concept nodes that each correspond to a respective concept. The stored information further includes a plurality of edges that each define a connection between a corresponding pair of nodes including a first set and a second set of edges. Each edge from the first set defining a connection between a pair of user nodes and representing a social relationship between the users corresponding to the user nodes. Each edge from the second set defining a connection between a user node and a concept node and representing an interest of the user of the user node with respect to the corresponding concept node.

Integrated social network environment

Growing community of inventors

Palo Alto, CA, United States of America

Chad E Little