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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.
Inventor: Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
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.
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公开(公告)号:US10827014B1
公开(公告)日:2020-11-03
申请号:US16390462
申请日:2019-04-22
Applicant: Facebook, Inc.
Inventor: Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
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.
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公开(公告)号:US20180139295A1
公开(公告)日:2018-05-17
申请号:US15354948
申请日:2016-11-17
Applicant: Facebook, Inc.
Inventor: Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
IPC: H04L29/08
CPC classification number: H04L67/22 , G06F11/34 , G06Q30/0201 , H04L67/24 , 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.
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公开(公告)号:US10313461B2
公开(公告)日:2019-06-04
申请号:US15354948
申请日:2016-11-17
Applicant: Facebook, Inc.
Inventor: Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
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.
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公开(公告)号:US10122672B2
公开(公告)日:2018-11-06
申请号:US14980415
申请日:2015-12-28
Applicant: Facebook, Inc.
Inventor: Li Ju , Pawel Bara , Adit Vaidya , Felix Wong
Abstract: A social networking system maintains various groups that each include one or more users and maintains information describing interactions by users with the social networking system. Based on interactions with the social networking system by the user, the social networking system determines a time interval when the user most frequently interacts with the social networking system. Additionally, the social networking system selects various content items provided to groups including the user based on amounts of interaction with content items provided to groups including the user by other social networking system users. During the time interval when the user most frequently interacts with the social networking system, information identifying a set of the selected content items is presented to the user via the social networking system.
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公开(公告)号:US20190042651A1
公开(公告)日:2019-02-07
申请号:US15667220
申请日:2017-08-02
Applicant: Facebook, Inc.
Inventor: Li Ju , Pawel Bara , Ramanathan Palaniappan , Eric Carl Ertmann , Jingxian Li , Jennifer Yin
Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of posts associated with a group. One or more respective attributes can be determined for each of the posts. The posts can be categorized based at least in part on their respective attributes. One or more options for accessing the categorized posts can be provided through a page associated with the group, the page being accessible through a content provider system.
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公开(公告)号:US10116758B2
公开(公告)日:2018-10-30
申请号:US15354942
申请日:2016-11-17
Applicant: Facebook, Inc.
Inventor: Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
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.
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公开(公告)号:US20170187665A1
公开(公告)日:2017-06-29
申请号:US14980415
申请日:2015-12-28
Applicant: Facebook, Inc.
Inventor: Li Ju , Pawel Bara , Adit Vaidya , Felix Wong
Abstract: A social networking system maintains various groups that each include one or more users and maintains information describing interactions by users with the social networking system. Based on interactions with the social networking system by the user, the social networking system determines a time interval when the user most frequently interacts with the social networking system. Additionally, the social networking system selects various content items provided to groups including the user based on amounts of interaction with content items provided to groups including the user by other social networking system users. During the time interval when the user most frequently interacts with the social networking system, information identifying a set of the selected content items is presented to the user via the social networking system.
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