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公开(公告)号：US20160197870A1
公开(公告)日：2016-07-07
申请号：US14589886
申请日：2015-01-05
Applicant: Facebook, Inc.
Inventor： Tony Hsien-yu Liu , Yuankai Ge , Barton David Smith , Paritosh Aggarwal , Daniel Dinu
CPC classification number: H04L51/32 , G06Q50/01 , H04L12/1822
Abstract: Exemplary methods, apparatuses, and systems to make suggestions regarding posts are detailed. For example, in an embodiment, a social networking system receives a user post from a first user, publishes the user post on behalf of the first user, receives and tracks interactions by other users with the user post, analyzes the received and tracked interactions to determine suggestion regarding the post, and provides the suggestion regarding the user post to the first user in a graphical user interface.
Abstract translation: 详细介绍了关于职位建议的示范性方法，设备和系统。 例如，在一个实施例中，社交网络系统从第一用户接收用户信息，代表第一用户发布用户信息，接收和跟踪用户发布的其他用户的交互，分析接收和跟踪的交互 确定关于该帖子的建议，并且提供关于用户在图形用户界面中向第一用户发布的建议。
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2.发明申请公开(公告)号：US20190213282A1
公开(公告)日：2019-07-11
申请号：US15868930
申请日：2018-01-11
Applicant: Facebook, Inc.
Inventor： Subramoniam Perumal , Daniel Dinu
IPC: G06F17/30
Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a specification of an entity having a presence via an online channel. One or more scores based on one or more occurrences relating to the presence of the entity can be generated. The occurrences can relate to at least one of impressions or engagements by users in relation to the presence of the entity. Subsequently, one or more of the scores can be presented.
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3.发明申请公开(公告)号：US20180107665A1
公开(公告)日：2018-04-19
申请号：US15295882
申请日：2016-10-17
Applicant: Facebook, Inc.
Inventor： Danlei Yang , Daniel Dinu , Neal Suresh Vora
Abstract: Systems, methods, and non-transitory computer-readable media according to certain aspects can obtain a goal associated with a page provided by a social networking system. Potential recommendations for the page can be determined based on a first machine learning model. The potential recommendations can be ranked based on a second machine learning model to identify a subset of recommendations relating to the goal.
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Patent Agency Ranking
公开(公告)号：US20180089578A1
公开(公告)日：2018-03-29
申请号：US15276587
申请日：2016-09-26
Applicant: Facebook, Inc.
Inventor： Ashish Kumar Yadav , Daniel Dinu
Abstract: Systems, methods, and non-transitory computer-readable media can train a machine learning model to classify at least one user account as either a first type of account or a second type of account based at least in part on one or more respective features corresponding to the user account and determine that a first user account that was created as the first type of account should be converted to the second type of account based at least in part on the machine learning model.
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公开(公告)号：US20180096251A1
公开(公告)日：2018-04-05
申请号：US15283025
申请日：2016-09-30
Applicant: Facebook, Inc.
Inventor： Daniel Dinu , Lingjuan Peng , Niting Qi , Ashish Kumar Yadav , Neal Suresh Vora , Andre Nader
IPC: G06N5/04 , G06N99/00 , G06F3/0482
CPC classification number: G06F3/0482 , G06N20/00 , G06Q50/01
Abstract: Systems, methods, and non-transitory computer readable media can determine one or more user-related metrics relating to each page of a plurality of pages associated with an administrator based on a first machine learning model. One or more recommendations relating to each page of the plurality of pages can be determined based on a second machine learning model. One or more pages of the plurality of pages for which to display cards including page updates in a feed of the administrator can be determined, based on the determined user-related metrics and the determined recommendations.
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公开(公告)号：US20160196023A1
公开(公告)日：2016-07-07
申请号：US14589877
申请日：2015-01-05
Applicant: Facebook, Inc.
Inventor： Tony Hsien-yu Liu , Yuankai Ge , Barton David Smith , Paritosh Aggarwal , Daniel Dinu
IPC: G06F3/0484 , G06F3/0482 , H04L29/06
CPC classification number: G06Q50/01
Abstract: Exemplary methods, apparatuses, and systems for highlighting an administrator tool are describe. In some embodiments, an administrator tool highlighting engine receives a plurality of signals, at an administrator tool highlighting engine executing on a hardware processor, relating to at least one of a social networking page, behavior of an administrator of the page, and a user base of the page, determines an administrator tool to highlight based on the signals, generates a graphical user interface highlighting the administrator tool, and provides the graphical user interface to a user.
Abstract translation: 描述用于突出管理员工具的示例性方法，装置和系统。 在一些实施例中，管理员工具突出显示引擎在与在硬件处理器上执行的管理员工具突出显示引擎相关的至少一个社交网页，页面的管理员的行为和用户基础中接收多个信号 确定管理员工具以基于信号突出显示，生成突出显示管理员工具的图形用户界面，并向用户提供图形用户界面。
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公开(公告)号：US20190208025A1
公开(公告)日：2019-07-04
申请号：US15856424
申请日：2017-12-28
Applicant: Facebook, Inc.
Inventor： Qingyuan Kong , Ashish Kumar Yadav , Daniel Dinu
CPC classification number: H04L67/22 , G06F16/9535 , G06F16/958 , G06N20/00 , G06Q50/01
Abstract: Systems, methods, and non-transitory computer readable media are configured to determine a likelihood of a rejection of a notification proposed for delivery to a recipient. A delivery determination for the notification can be performed. Subsequently, the notification can be delivered to the recipient based on the delivery determination.
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公开(公告)号：US20180103005A1
公开(公告)日：2018-04-12
申请号：US15289729
申请日：2016-10-10
Applicant: Facebook, Inc.
Inventor： Ashish Kumar Yadav , Komal Kapoor , Daniel Dinu , Bradley Ray Green , Naman Jain
IPC: H04L12/58
Abstract: Systems, methods, and non-transitory computer readable media are configured to receive values associated with features corresponding to an instance involving a page of a social networking system and an administrator of the page. The values associated with the features are applied to a machine learning model. A probability that the administrator of the page will take action on the page in response to receipt of an electronic notification provided to the administrator is determined based on the machine learning model.
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