公开(公告)号：US20190102466A1

公开(公告)日：2019-04-04

申请号：US15721577

申请日：2017-09-29

Applicant: Facebook, Inc.

Inventor： Lu Wang ,  Shengbo Guo ,  Grace Louise Jackson ,  Kristin S. Hendrix ,  Yue Zhuo ,  Seyoung Park ,  Yixian Zhu ,  Christopher John Leggetter ,  James Li ,  Michael Charles Bailey

IPC: G06F17/30 ,  H04L29/08 ,  G06Q50/00

CPC classification number: G06F16/9535 ,  G06F16/9574 ,  G06F16/9577 ,  G06F16/958 ,  G06Q30/02 ,  G06Q50/01 ,  H04L67/22 ,  H04L67/306

Abstract: An online system receives posts that include links to various external pages and presents those posts to users of the online system. When the online system determines an opportunity to present a post to a particular viewing user of the online system, the online system determines a quality metric and an associated value score for the post. The quality metric is determined as a likelihood that the viewing user will view the external page for less than a threshold time period, and is used to adjust the associated value score. The online system compares the value score of the post to the value scores of other posts and selects one or more of the compared posts for presentation to the viewing user of the online system.

公开(公告)号：US20180012236A1

公开(公告)日：2018-01-11

申请号：US15203719

申请日：2016-07-06

Applicant: Facebook, Inc.

Inventor： Yue Zhuo ,  Meihong Wang ,  Mahmud Sami Tas ,  Jie Xu ,  Kristin S. Hendrix ,  Vibhi Kant

IPC: G06Q30/02 ,  G06N99/00

CPC classification number: G06Q30/0201 ,  G06N20/00

Abstract: Systems, methods, and non-transitory computer-readable media can select one or more content items that are associated with one or more interactions that each at least meet a specified interaction metric threshold. Data associated with the one or more content items can be acquired. A classifier can be developed based on the data associated with the one or more content items. At least some of the one or more content items can be identified, based on the classifier, as having at least a threshold confidence score of being interaction-bait content.

公开(公告)号：US10733254B2

公开(公告)日：2020-08-04

申请号：US14964815

申请日：2015-12-10

Applicant: Facebook, Inc.

Inventor： Gregory Matthew Marra ,  David Vickrey ,  Mahmud Sami Tas ,  Yue Zhuo

IPC: G06F16/9538 ,  G06F16/2457 ,  H04L29/08 ,  G06Q50/00 ,  G06F16/9535 ,  G06F16/9536

Abstract: An online system, such as a social networking system, monitors user interactions with news feed stories of the social networking system and divides the user interactions into non-content clicks and content clicks. The non-content clicks indicate a user's interest in news feed stories based on user actions such as comments on, likes, shares, and hides the news feed stories. The content clicks indicate a user's interest in news feed stories based on user actions on different specific portions of multimedia content (e.g., videos) in the news feed stories such as playing, fast forwarding. The social networking system trains a model based on the monitored user interactions with news feed stories and uses the trained model to rank news feed stories for presentation to a user. The ranks of news feed stories for a user are determined based on a likelihood that the user would find the story interesting.

公开(公告)号：US20170171139A1

公开(公告)日：2017-06-15

申请号：US14964815

申请日：2015-12-10

Applicant: Facebook, Inc.

Inventor： Gregory Matthew Marra ,  David Vickrey ,  Mahmud Sami Tas ,  Yue Zhuo

IPC: H04L12/58

Abstract: An online system, such as a social networking system, monitors user interactions with news feed stories of the social networking system and divides the user interactions into non-content clicks and content clicks. The non-content clicks indicate a user's interest in news feed stories based on user actions such as comments on, likes, shares, and hides the news feed stories. The content clicks indicate a user's interest in news feed stories based on user actions on different specific portions of multimedia content (e.g., videos) in the news feed stories such as playing, fast forwarding. The social networking system trains a model based on the monitored user interactions with news feed stories and uses the trained model to rank news feed stories for presentation to a user. The ranks of news feed stories for a user are determined based on a likelihood that the user would find the story interesting.

公开(公告)号：US10387516B2

公开(公告)日：2019-08-20

申请号：US15721577

申请日：2017-09-29

Applicant: Facebook, Inc.

Inventor： Lu Wang ,  Shengbo Guo ,  Grace Louise Jackson ,  Kristin S. Hendrix ,  Yue Zhuo ,  Seyoung Park ,  Yixian Zhu ,  Christopher John Leggetter ,  James Li ,  Michael Charles Bailey

IPC: G06F16/9535 ,  G06Q50/00 ,  H04L29/08 ,  G06F16/958 ,  G06F16/957 ,  G06Q30/02

Abstract: An online system receives posts that include links to various external pages and presents those posts to users of the online system. When the online system determines an opportunity to present a post to a particular viewing user of the online system, the online system determines a quality metric and an associated value score for the post. The quality metric is determined as a likelihood that the viewing user will view the external page for less than a threshold time period, and is used to adjust the associated value score. The online system compares the value score of the post to the value scores of other posts and selects one or more of the compared posts for presentation to the viewing user of the online system.