SYSTEMS AND METHODS FOR RETAINING MEANINGFUL CONNECTIONS

    公开(公告)号:US20190124170A1

    公开(公告)日:2019-04-25

    申请号:US15788765

    申请日:2017-10-19

    Applicant: Facebook, Inc.

    Abstract: The disclosed computer-implemented method may include measuring a user's activity for at least a current time period with respect to a social networking group of a social network. The method may include determining, based on at least the user's activity, whether the user will establish a meaningful connection with the social networking group for a next time period. The meaningful connection may indicate that the user satisfies a threshold amount of activity with the social networking group for a time period. The method may include selecting, based on the determination, content associated with the social networking group. The method may include providing the selected content for display to the user. Various other methods, systems, and computer-readable media are also disclosed.

    Recommending a group to a user of a social networking system based on affinities of the user for members of the group

    公开(公告)号:US10257308B2

    公开(公告)日:2019-04-09

    申请号:US15162577

    申请日:2016-05-23

    Applicant: Facebook, Inc.

    Abstract: A social networking system identifies a set of groups of which a user of the social networking system is not a member and selects a group for recommendation to the user based on a predicted affinity of the user for each identified group. The social networking system computes an affinity score of the user for each of one or more members of the selected group based at least in part on information describing a set of connections between the user and each member. Based on the scores, the social networking system selects a set of members of the group and generates a recommendation unit, wherein images associated with the selected members are arranged based on their scores and overlay at least a portion of an image associated with the group. The recommendation unit is communicated to the user to suggest that the user join the recommended group.

    DELIVERING NOTIFICATIONS BASED ON PREDICTION OF USER ACTIVITY

    公开(公告)号:US20180139294A1

    公开(公告)日:2018-05-17

    申请号:US15354942

    申请日:2016-11-17

    Applicant: Facebook, Inc.

    CPC classification number: H04L67/22 G06Q50/01 H04L67/26 H04L67/306

    Abstract: An online system predicts the user's activity on the online system during a future time interval (e.g., the next day). The system collects activity data, such as actions that the user has taken on the system. The system predicts whether the user is likely to be active during the future time interval based on features extracted from the activity data. This system determines selection of notifications and delivery of notifications based on the predicted time when the user is likely to be active on the online system. The system further records the user's past interactions with notifications, such as whether the user viewed the notification, whether the user interacted with a content item associated with the notification, and so on. If system determines a rate of delivery of notifications to the user based on the frequency of past user interactions with notifications.

    RECOMMENDING A GROUP TO A USER OF A SOCIAL NETWORKING SYSTEM BASED ON AFFINITIES OF THE USER FOR MEMBERS OF THE GROUP

    公开(公告)号:US20170337250A1

    公开(公告)日:2017-11-23

    申请号:US15162577

    申请日:2016-05-23

    Applicant: Facebook, Inc.

    CPC classification number: H04L67/306 G06Q50/01 H04L67/22

    Abstract: A social networking system identifies a set of groups of which a user of the social networking system is not a member and selects a group for recommendation to the user based on a predicted affinity of the user for each identified group. The social networking system computes an affinity score of the user for each of one or more members of the selected group based at least in part on information describing a set of connections between the user and each member. Based on the scores, the social networking system selects a set of members of the group and generates a recommendation unit, wherein images associated with the selected members are arranged based on their scores and overlay at least a portion of an image associated with the group. The recommendation unit is communicated to the user to suggest that the user join the recommended group.

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