Abstract:
Systems, methods, and non-transitory computer readable media are configured to subscribe a subscriber to a content item appearing at a first position in a news feed of content items based on selection of a setting to subscribe to the content item. A pop up window including a response associated with the content item on a user interface displayed by a computing device associated with the subscriber is presented to the subscriber based on posting of the response. Scrolling of the news feed in response to user inputs is concurrently presented on the user interface while the pop up window is presented. At least one selectable setting to dismiss the pop up window from view on the user interface is provided. In response to dismissal, the content item assumes the first position in the news feed or assumes a second position in the news feed based on a re-ranking.
Abstract:
Systems, methods, and non-transitory computer readable media are configured to detect a communication link quality that fails to satisfy a communications bandwidth threshold. A cache associated with a client computing device of a user is queried for content items not consumed by the user for presentation in a news feed displayed on the client computing device. At least one content item of the content items not consumed by the user is presented in the news 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 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:
An online system provides a continuous feed of content items to a client device. The online system maintains an ordered set of ranked content items for sending to the client device. The online system receives requests from the client device for content items and selects a subset from an ordered set of ranked content items in response to each request. The number of content items in the subset may be based on factors such as the network connection strength of the client device. The client device re-ranks content items received from the online system based on information received during a given session. The session information may indicate the types of content items viewed during the given session, or the speed at which the user is viewing content items during the given session.
Abstract:
Systems, methods, and non-transitory computer-readable media can select one or more content items that are associated with one or more interactions that each at least meet a specified interaction metric threshold. Data associated with the one or more content items can be acquired. A classifier can be developed based on the data associated with the one or more content items. At least some of the one or more content items can be identified, based on the classifier, as having at least a threshold confidence score of being interaction-bait content.
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 provides a continuous feed of content items to a client device. The online system maintains an ordered set of ranked content items for sending to the client device. The online system receives requests from the client device for content items and selects a subset from an ordered set of ranked content items in response to each request. The number of content items in the subset may be based on factors such as the network connection strength of the client device. The client device re-ranks content items received from the online system based on information received during a given session. The session information may indicate the types of content items viewed during the given session, or the speed at which the user is viewing content items during the given session.
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.