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公开(公告)号:US10915509B2
公开(公告)日:2021-02-09
申请号:US15968161
申请日:2018-05-01
Applicant: Facebook, Inc.
Inventor: Hongzhao Huang , Peng-Jen Chen , Justin Moore , Yaniv Shmueli
IPC: G06F16/215 , H04L12/58 , G06F16/29 , G06F16/28 , G06F16/951 , G06F16/901 , H04L29/08 , H04W4/80 , H04W4/02 , G06Q50/00 , H04W4/029
Abstract: In one embodiment, a method includes identifying one or more place-entity nodes in a heterogeneous graph, wherein the heterogenous graph comprises place-entity nodes, user nodes, and n-gram nodes, and wherein each place-entity node corresponds to a place-entity associated with a particular geographic location, assigning, for each identified place-entity node, an initial quality-score for the place-entity node, and calculating, for each identified place-entity node, a final quality-score for the identified place-entity node, wherein each final quality-score is calculated by iteratively propagating the initial quality-scores corresponding to the identified place-entity nodes, respectively, through the place-entity nodes, n-gram nodes, and user nodes of the heterogeneous graph until the quality-scores associated with the place-entity nodes, n-gram nodes, and user nodes reach convergence.
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公开(公告)号:US10019466B2
公开(公告)日:2018-07-10
申请号:US15192750
申请日:2016-06-24
Applicant: Facebook, Inc.
Inventor: Hongzhao Huang , Peng-Jen Chen , Justin Moore , Yaniv Shmueli
CPC classification number: G06F16/215 , G06F16/285 , G06F16/29 , G06F16/9024 , G06F16/951 , G06Q50/01 , H04L51/20 , H04L51/32 , H04L67/02 , H04L67/2814 , H04L67/306 , H04W4/02 , H04W4/029 , H04W4/80
Abstract: In one embodiment, an online social network accesses a social graph that includes a number of place-entity nodes each corresponding to a place-entity, and a number of user nodes each corresponding to a user. A heterogeneous graph is generated based on the place-entity nodes, user nodes, and n-gram nodes, each n-gram node corresponding to an n-gram in the name of at least one place-entity. Each n-gram node is connected to corresponding place-entity nodes containing the n-gram, and user nodes with a social networking interaction with the corresponding place-entity nodes. Each place-entity node is assigned an initial quality-score. The quality-scores are propagated through the redirection graph based on the connections between the place-entity nodes, the n-gram nodes, and the user nodes. A final quality-score is assigned to each place-entity node when the propagation of the quality-scores through the redirection graph reaches convergence.
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公开(公告)号:US20170201851A1
公开(公告)日:2017-07-13
申请号:US15192750
申请日:2016-06-24
Applicant: Facebook, Inc.
Inventor: Hongzhao Huang , Peng-Jen Chen , Justin Moore , Yaniv Shmueli
CPC classification number: G06F17/30303 , G06F17/30241 , G06F17/30598 , G06F17/30864 , G06F17/30958 , G06Q50/01 , H04L51/20 , H04L51/32 , H04L67/02 , H04L67/2814 , H04L67/306 , H04W4/02 , H04W4/80
Abstract: In one embodiment, an online social network accesses a social graph that includes a number of place-entity nodes each corresponding to a place-entity, and a number of user nodes each corresponding to a user. A heterogeneous graph is generated based on the place-entity nodes, user nodes, and n-gram nodes, each n-gram node corresponding to an n-gram in the name of at least one place-entity. Each n-gram node is connected to corresponding place-entity nodes containing the n-gram, and user nodes with a social networking interaction with the corresponding place-entity nodes. Each place-entity node is assigned an initial quality-score. The quality-scores are propagated through the redirection graph based on the connections between the place-entity nodes, the n-gram nodes, and the user nodes. A final quality-score is assigned to each place-entity node when the propagation of the quality-scores through the redirection graph reaches convergence.
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公开(公告)号:US20190180171A1
公开(公告)日:2019-06-13
申请号:US15838287
申请日:2017-12-11
Applicant: Facebook, Inc.
Inventor: Myle Arif Ott , Aaron Bryan Adcock , Yaniv Shmueli , Peng-Jen Chen , Wenbo Yuan , Junfei Wang
Abstract: In one embodiment, a method includes receiving, from a client system associated with a user of an online social network, data indicating that the user is located at a first geographic location at a first time; accessing a first embedding representing a first place-entity corresponding to the first geographic location; accessing multiple second embeddings representing multiple respective second place-entities each corresponding to a second geographic location; calculating, a similarity metric between the embedding representing the first place-entity and each of the embeddings representing the second place-entities; ranking each of the second place-entities based on their calculated similarity metrics; and sending, to the client system, information associated with one or more second geographic locations corresponding to one or more second place-entities having a ranking greater than a threshold ranking.
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公开(公告)号:US20180246913A1
公开(公告)日:2018-08-30
申请号:US15968161
申请日:2018-05-01
Applicant: Facebook, Inc.
Inventor: Hongzhao Huang , Peng-Jen Chen , Justin Moore , Yaniv Shmueli
CPC classification number: G06F16/215 , G06F16/285 , G06F16/29 , G06F16/9024 , G06F16/951 , G06Q50/01 , H04L51/20 , H04L51/32 , H04L67/02 , H04L67/2814 , H04L67/306 , H04W4/02 , H04W4/029 , H04W4/80
Abstract: In one embodiment, a method includes identifying one or more place-entity nodes in a heterogeneous graph, wherein the heterogenous graph comprises place-entity nodes, user nodes, and n-gram nodes, and wherein each place-entity node corresponds to a place-entity associated with a particular geographic location, assigning, for each identified place-entity node, an initial quality-score for the place-entity node, and calculating, for each identified place-entity node, a final quality-score for the identified place-entity node, wherein each final quality-score is calculated by iteratively propagating the initial quality-scores corresponding to the identified place-entity nodes, respectively, through the place-entity nodes, n-gram nodes, and user nodes of the heterogeneous graph until the quality-scores associated with the place-entity nodes, n-gram nodes, and user nodes reach convergence.
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