Facebook, Inc.

Mao Xue

Daniel Joseph Giambalvo

John Graham Keggi

Gueorgui Nikolov Djabarov

Jason Eric Brewer

Joshua Richard Williams

Justin Moore

Daniel Jeng-Ping Hui

Keegan Jones

Ash Wahi

Hong Yan

Harish Srinivas

Jing Fang

A social networking system permits users to store content presented by the social networking system and subsequently access the stored content associated with the users. A content item is stored in association with a user profile of a user that stored the content item and with one or more rules specifying criteria causing presentation of the stored content item to the user when satisfied. Additionally, a rule associated with a stored content item may specify a format in which the stored content item is presented when criteria associated with the rule are satisfied. When characteristics associated with a user satisfy criteria associated with a rule associated with a stored content item, the stored content item is included in a selection process determining content that is presented to the user.

Presenting previously presented content items stored by users of a social networking system

Particular embodiments detect events associated with information about events and activities that a user has engaged in. The events may be of a particular type. An entity associated with an event may request that the user provide further information on the event and, based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the type or context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

Eliciting event-driven feedback in a social network after a time delay

In one embodiment, a method includes a computer server machine receiving information about a first media player event with the information about the first media player event including a viewing session identifier. Using a state machine, the computer server machine identifies a current state of the viewing session using the information about the first media player event. The computer server machine receives information about a second media player event. Using a state machine, the computer server machine identifies a subsequent state of the viewing session using the information about the second media player event. The computer server machine calculates metrics for the viewing session based on the current state and subsequent state, and stores the metrics. The computer server machine generates a session summary with the session summary including information about the metrics for the viewing session.

State-based logging for a viewing session

When a user sees a content item presented by a social networking system, the user may select an option to save the content item. When a user saves a content item, views saved content items, or otherwise indicates a present interest in a particular saved content item, the system recommends one or more additional items for the users to consume or save based on the seed saved content item. To find the additional content items, the system identifies other users who also saved the seed item and then finds other content items that these other users also saved at a rate that is disproportionately higher than the global save rates for the content items (which may be normalized by opportunities to save the content). Relevance for content items in other contexts may also be determined based on content items that have been saved by a user.

Recommending content items in a social network using delayed interaction

Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

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Fremont, CA, United States of America

Mao Xue