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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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Patent Agency Ranking
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：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：US20190124170A1
公开(公告)日：2019-04-25
申请号：US15788765
申请日：2017-10-19
Applicant: Facebook, Inc.
Inventor： Li Ju , Ramanathan Palaniappan , Matthew Bryan Folz , Baijie Lu , Kevin Donald Kelly
IPC: H04L29/08
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.
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