Facebook, Inc.

Yintao Yu

Meihong Wang

Wenjie Fu

Lars Seren Backstrom

Yi Tang

Hong Ge

Di Liu

A social networking system presents content items to a user and determines if the user has less than at threshold level of interest in the presented content items based on one or more user interactions with the presented content items. For example, the social networking system determines the user has less than the threshold level of interest in the presented content items if at threshold number of requests for content are received within a time interval. If the user has less than the threshold level of interest in the presented content items, the social networking system identifies additional content items to present to the user, and may also identify content items previously presented to the user. Content is selected form the additional content items or from the previously presented content items and presented to the user.

Presenting additional content items to a social networking system user based on receiving an indication of boredom

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 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.

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Fremont, CA, United States of America

Yintao Yu