Facebook, Inc.

Huan Yang

David Chen

Kiranjit Singh Sidhu

Emily B Grewal

Florin Ratiu

Denise Moreno

Yanxin Shi

Ching-Chih Weng

Lex Arquette

Hisham Rabih Harik

Techniques to increase engagement with a social networking system. In one embodiment, an engagement level of a user with a social networking system is monitored. A low engagement user type associated with the user is identified from a plurality of low engagement user types. It is determined whether the engagement level of the user is less than a threshold. If so, a communication is provided for the user based on the low engagement user type associated with the user. The communication may be a notification or a digest communication.

Methods and systems for increasing engagement of low engagement users in a social network

Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.

Methods and systems for optimizing messages to users of a social network

Optimizing messages to users of a social network using a prediction model that determines likelihood of user performing desired activity

Optimizing messages to users of a social network using a message that includes a user's performance of a desired activity associated with a link included in the message

Increasing engagement of low engagement users in a social network

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Sunnyvale, CA, United States of America

Huan Yang