Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
An online system applies position discounts to values of various content items based on the positions in a display in which the content items are presented. The value of presenting a content item is based on historical user interactions with the content item or similar content items. A position discount reflects a change between user interacting with a content item presented in a position offset from a reference position and user interaction with the content item if it was presented in the reference position. A position discount may be determined for various content items presented in one or more positions based on user-specific, contextual, and other types of information describing user interaction with content items. Position discounts may be used by the online system to optimize selection and presentation of content items to its users.
Abstract:
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.