Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Method or system for allowing a social networking system to retain users of a social networking system by identifying low-activity users who are likely to become inactive/dormant users and prompting users to initiate interactions with the low-activity users. The low-activity users are identified by monitoring activities and interactions of the users via the social networking system. If the pattern of activities and interactions satisfy one or more criteria, a computer device for providing the social networking system initiates an intervention scheme where users are induced to initiate interactions with the low-activity users. In response to the interactions, the low-activity users are likely to resume interactions via the social networking system.

Abstract: 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.

Abstract: 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.

Abstract: In one embodiment, a method includes providing for presentation on a graphical user interface an identification of a user; and providing presence information of the user with the identification of the user. The presence information indicates a temporal, spatial, modal, or social accessibility or availability of user. The presence information includes real-time video of the user captured and is provided as presence information automatically and without user input of the user.

Abstract: Method or system for allowing a social networking system to retain users of a social networking system by identifying low-activity users who are likely to become inactive/dormant users and prompting users to initiate interactions with the low-activity users. The low-activity users are identified by monitoring activities and interactions of the users via the social networking system. If the pattern of activities and interactions satisfy one or more criteria, a computer device for providing the social networking system initiates an intervention scheme where users are induced to initiate interactions with the low-activity users. In response to the interactions, the low-activity users are likely to resume interactions via the social networking system.

Abstract: 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.

Abstract: Method or system for allowing a social networking system to retain users of a social networking system by identifying low-activity users who are likely to become inactive/dormant users and prompting users to initiate interactions with the low-activity users. The low-activity users are identified by monitoring activities and interactions of the users via the social networking system. If the pattern of activities and interactions satisfy one or more criteria, a computer device for providing the social networking system initiates an intervention scheme where users are induced to initiate interactions with the low-activity users. In response to the interactions, the low-activity users are likely to resume interactions via the social networking system.

Abstract: Method or system for allowing a social networking system to retain users of a social networking system by identifying low-activity users who are likely to become inactive/dormant users and prompting users to initiate interactions with the low-activity users. The low-activity users are identified by monitoring activities and interactions of the users via the social networking system. If the pattern of activities and interactions satisfy one or more criteria, a computer device for providing the social networking system initiates an intervention scheme where users are induced to initiate interactions with the low-activity users. In response to the interactions, the low-activity users are likely to resume interactions via the social networking system.

Abstract: A web application firewall (WAFs) used to secure websites from many known and unknown vulnerabilities is described. In one embodiment, the WAF is installed between a server that is serving web content and a network over which clients access the website hosted on the server. The WAF is configured to provide security from external attacks by preventing the website from receiving data that it did not send, and that the data received was not altered by a client. The WAF encodes outbound HTTP response data such that when a client or interloper follows one of the links or other constructs in the response data, the WAF can determine the validity of the next client request. In one embodiment, each universal resource locator link is encrypted and checked for validity when it is returned to the server via the WAF.