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1.发明申请公开(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
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.
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公开(公告)号：US20190005393A1
公开(公告)日：2019-01-03
申请号：US15636390
申请日：2017-06-28
Applicant: Facebook, Inc.
Inventor： Shengbo Guo , Mark Warren McDuff , Yixian Zhu , Ying Zhang , James Li , Sara Lee Su
Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.
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公开(公告)号：US10685188B1
公开(公告)日：2020-06-16
申请号：US16029296
申请日：2018-07-06
Applicant: Facebook, Inc.
Inventor： Ying Zhang , Arun Babu , James Li
Abstract: Systems, methods, and non-transitory computer readable media can generate a plurality of language clusters based on one or more of: language similarity between languages or social behavior similarity between languages. A representative language for a language cluster of the plurality of language clusters can be determined. For the language cluster of the plurality of language clusters, a machine learning model can be trained based on the representative language for the language cluster to classify content items in languages included in the language cluster.
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公开(公告)号：US20220067554A1
公开(公告)日：2022-03-03
申请号：US17521597
申请日：2021-11-08
Applicant: Facebook, Inc.
Inventor： Shengbo Guo , Mark Warren McDuff , Yixian Zhu , Ying Zhang , James Li , Sara Lee Su
Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.
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公开(公告)号：US11106715B1
公开(公告)日：2021-08-31
申请号：US15961842
申请日：2018-04-24
Applicant: Facebook, Inc.
Inventor： Cheng Ju , James Li , Bram Wasti , Shengbo Guo
IPC: G06F17/00 , G06F16/35 , G06N5/04 , G06N20/00 , G06F16/951 , G06F16/901 , G06Q50/00
Abstract: The disclosed computer-implemented method may include (1) maintaining a heterogeneous graph that represents (a) objects of a first type, (b) objects of a second type, and (c) relationships between the objects of the first type and objects of the second type, (2) using features of the objects of the first type to train a first embedding model to generate embeddings of the first type that (a) predict a label of objects of the first type and (b) predict, when combined with embeddings of the second type, graphical relationships in the graph, and (3) using features of each of the objects of the second type to train a second embedding model to generate the embeddings of the second type that predict, when combined with the embeddings of the first type, the graphical relationships in the graph. Various other methods, systems, and computer-readable media are also disclosed.
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Patent Agency Ranking
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.
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公开(公告)号：US20190164196A1
公开(公告)日：2019-05-30
申请号：US15826392
申请日：2017-11-29
Applicant: Facebook, Inc.
Inventor： Sijian Tang , Shengbo Guo , Jiayi Wen , Gregory Matthew Marra , James Li , Seiji James Yamamoto , Grace Louise Jackson , Kristin S. Hendrix , Benxiong Wu , Jiun-Ren Lin , Sara Lee Su , Panagiotis Papadimitriou , Michael Charles Bailey , Cristian Orellana , Emanuel Alexandre Strauss
IPC: G06Q30/02 , G06F3/0482 , G06F17/30 , G06N5/02
Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) deriving features from a landing page of each of the links, (4) using the label and the features of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (5) identifying content items that are candidates for a content feed of a user of the online system, (6) applying the model to a link of each of the content items to determine a ranking of the content items, and (7) displaying the content items in the content feed of the user based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US20190155952A1
公开(公告)日：2019-05-23
申请号：US15816121
申请日：2017-11-17
Applicant: Facebook, Inc.
Inventor： Sijian Tang , Jiayi Wen , James Li , Shengbo Guo , Chenzhang He , Jiun-Ren Lin
Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) generating a link graph from a crawl of the links, (4) using the link graph to derive a graph-based feature for each of the links, (5) using the label and the graph-based feature of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (6) identifying content items that are candidates for a content feed of a user, (7) applying the model to the content items to determine a ranking, and (8) displaying the content items in the content feed based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：US11195106B2
公开(公告)日：2021-12-07
申请号：US15636390
申请日：2017-06-28
Applicant: Facebook, Inc.
Inventor： Shengbo Guo , Mark Warren McDuff , Yixian Zhu , Ying Zhang , James Li , Sara Lee Su
Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.
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公开(公告)号：US10706114B2
公开(公告)日：2020-07-07
申请号：US15816121
申请日：2017-11-17
Applicant: Facebook, Inc.
Inventor： Sijian Tang , Jiayi Wen , James Li , Shengbo Guo , Chenzhang He , Jiun-Ren Lin
IPC: G06F16/9535 , G06F16/248 , G06F16/958 , G06F16/901 , G06F16/2457 , G06F16/955 , G06N20/00 , G06N7/00
Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) generating a link graph from a crawl of the links, (4) using the link graph to derive a graph-based feature for each of the links, (5) using the label and the graph-based feature of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (6) identifying content items that are candidates for a content feed of a user, (7) applying the model to the content items to determine a ranking, and (8) displaying the content items in the content feed based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.
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