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

IPC: H04L29/08 ,  H04L29/06

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.

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

IPC: H04L29/08 ,  G06F11/34 ,  G06Q30/02

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.

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

IPC: H04L29/08 ,  G06F11/34 ,  G06Q30/02 ,  G06Q50/00

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.

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.

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

IPC: H04L29/08 ,  H04L29/06

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.