Facebook, Inc.

Wenjie Fu

Meihong Wang

Yintao Yu

Lars Seren Backstrom

Yi Tang

Hong Yan

Yanxin Shi

Gideon Wald

Hong Ge

Alon Amit

Di Liu

A social networking system selects and presents content items to a user via a feed. Additionally, the social networking system predicts heights associated with various content items, such as content items selected for presentation via the feed. Characteristics of a content item (e.g., a type of content included in the content item, a language of the content item, and a number of comments associated with the content item) as well as characteristics of a client device associated with the user are used to predict a height associated with the content item. When selecting content items for presentation to the user, the social networking system accounts for the predicted heights of various content items to increase the likelihood of the user interacting with content items presented via the feed.

Selecting content items for presentation in a feed based on heights associated with the content items

A social networking system associates one or more objects in the social networking system with a link to content external to the social networking system. This allows information about the object to be used as a proxy for information about the external content. An index associating objects in the social networking system with links to content external to the social networking system is maintained. A received link to external content are parsed into components, such as a domain name, a path, and a query string, and the components are compared to the index to identify an object associated with one or more of the comments of the received link. One or more rules may be applied to increase the likelihood of the identified object having similar subject matter as the external content.

Social context for offsite advertisements

A social networking system selects and presents content items to a user via a feed. Additionally, the social networking system predicts heights associated with various content items, such as content items selected for presentation via the feed. Characteristics of a content item (e.g., a type of content included in the content item, a language of the content item, and a number of comments associated with the content item) as well as characteristics of a client device associated with the user are used to predict a height associated with the content item. When selecting content items for presentation to the user, the social networking system accounts for the predicted heights of various content items when ordering the content items in the news feed.

Ordering content items in a feed based on heights associated with the content items

Methods, apparatuses and systems for generating a nickname dictionary that includes associations between names of users and candidate nicknames based on statistical analysis of user communications observed at a network communications facility, such as a social network system, an email provider and the like.

Generation of nickname dictionary based on analysis of user communications

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Foster City, CA, United States of America

Wenjie Fu