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:
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.