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:
To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.
Abstract:
To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.
Abstract:
To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.
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:
To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.