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公开(公告)号：US20170178254A1
公开(公告)日：2017-06-22
申请号：US15454716
申请日：2017-03-09
Applicant: Facebook, Inc.
Inventor： Maxime Boucher , Russell Lee-Goldman , Kathryn Hymes , Martin Jean Raison
CPC classification number: G06Q50/01 , G06F16/2423 , G06F16/2428 , G06F16/24575 , G06F16/24578 , G06F16/248 , G06F16/90324 , G06F16/9535 , G06Q30/02 , G06Q30/0277
Abstract: In one embodiment, a method includes scoring a set of content objects based on one or more user-engagement factors, identifying one or more related content objects, wherein each related content objects is connected within the online social network to one or more content objects of the set of content objects having a score greater than a threshold score, generating a plurality of structured queries that each comprise references to one or more content objects, wherein at least one of the structured queries is a personalized query comprising a reference to at least one of the related content objects, and sending instructions to a client device for presenting one or more of the generated structured queries to a first user for display on an interface currently accessed by the first user, wherein at least one of the sent structured queries is a personalized query.
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公开(公告)号：US09633121B2
公开(公告)日：2017-04-25
申请号：US14449291
申请日：2014-08-01
Applicant: Facebook, Inc.
Inventor： Maxime Boucher , Russell Lee-Goldman , Kathryn Hymes , Martin Jean Raison
CPC classification number: G06Q50/01 , G06F17/30392 , G06F17/30398 , G06F17/30528 , G06F17/3053 , G06F17/30554 , G06F17/30867 , G06Q30/02 , G06Q30/0277
Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges. A first node corresponds to a first user associated with an online social network and second nodes correspond to a concept or a second user. The method further comprises scoring a first set of nodes of the second nodes based on user-engagement factors. The method further comprises identifying common nodes that are connected by edges to nodes of the first set of nodes that have a score greater than a threshold score. The method further comprises generating structured queries and sending the structured queries to the user, the sent structured queries being a personalized query.
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3.发明申请公开(公告)号：US20170293834A1
公开(公告)日：2017-10-12
申请号：US15391250
申请日：2016-12-27
Applicant: Facebook, Inc.
Inventor： Martin Jean Raison , Willy Blandin , Andreea-Loredana Crisan , Stepan Parunashvili , Kemal El Moujahid , Laurent Nicolas Landowski
CPC classification number: G06F16/3344 , G06F16/3322 , G06F16/3329 , G06F17/279 , G06F17/28 , G06N3/006 , G06N5/041 , G06N20/00 , H04L51/02
Abstract: Techniques to response to respond to user requests using natural-language machine learning based on branching example conversations are described. In one embodiment, an apparatus may comprise a bot application interface component operative to receive an example-interaction repository, the example-interaction repository comprising a plurality of example user-to-bot interactions, including one or more branching example user-to-bot interactions; and an interaction processing component operative to generate a linearized example-interaction repository by replacing the one or more branching example user-to-bot interactions with the plurality of linearized example user-to-bot interactions; submit the example-interaction repository to a natural-language machine learning component; and receive a sequence model from the natural-language machine learning component in response to submitting the example-interaction repository; and a client communication component operative to perform a user-to-bot conversation based on the sequence model. Other embodiments are described and claimed.
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Patent Agency Ranking
公开(公告)号：US20170277667A1
公开(公告)日：2017-09-28
申请号：US15077814
申请日：2016-03-22
Applicant: Facebook, Inc.
Inventor： Jason E. Weston , Antoine Bordes , Alexandre Lebrun , Martin Jean Raison
IPC: G06F17/24 , G06F17/27 , G06F3/0482
CPC classification number: G06F17/279 , G06F3/0482 , G06F3/0484 , G06F17/30654
Abstract: Techniques to predictively respond to user requests using natural language processing are described. In one embodiment, an apparatus may comprise a client communication component operative to receive a user service request from a user client; an interaction processing component operative to submit the user service request to a memory-based natural language processing component; generate a series of user interaction exchanges with the user client based on output from the memory-based natural language processing component, wherein the series of user interaction exchanges are represented in a memory component of the memory-based natural language processing component; and receive one or more operator instructions for the performance of the user service request from the memory-based natural language processing component; and a user interface component operative to display the one or more operator instructions in an operator console. Other embodiments are described and claimed.
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公开(公告)号：US10198433B2
公开(公告)日：2019-02-05
申请号：US15077814
申请日：2016-03-22
Applicant: Facebook, Inc.
Inventor： Jason E Weston , Antoine Bordes , Alexandre Lebrun , Martin Jean Raison
IPC: G06F17/27 , G06F3/0482 , G06F3/0484 , G06F17/30
Abstract: Techniques to predictively respond to user requests using natural language processing are described. In one embodiment, an apparatus may comprise a client communication component operative to receive a user service request from a user client; an interaction processing component operative to submit the user service request to a memory-based natural language processing component; generate a series of user interaction exchanges with the user client based on output from the memory-based natural language processing component, wherein the series of user interaction exchanges are represented in a memory component of the memory-based natural language processing component; and receive one or more operator instructions for the performance of the user service request from the memory-based natural language processing component; and a user interface component operative to display the one or more operator instructions in an operator console. Other embodiments are described and claimed.
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公开(公告)号：US20140344265A1
公开(公告)日：2014-11-20
申请号：US14449291
申请日：2014-08-01
Applicant: Facebook, Inc.
Inventor： Maxime Boucher , Russell Lee-Goldman , Kathryn Hymes , Martin Jean Raison
IPC: G06F17/30
CPC classification number: G06Q50/01 , G06F17/30392 , G06F17/30398 , G06F17/30528 , G06F17/3053 , G06F17/30554 , G06F17/30867 , G06Q30/02 , G06Q30/0277
Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges. A first node corresponds to a first user associated with an online social network and second nodes correspond to a concept or a second user. The method further comprises scoring a first set of nodes of the second nodes based on user-engagement factors. The method further comprises identifying common nodes that are connected by edges to nodes of the first set of nodes that have a score greater than a threshold score. The method further comprises generating structured queries and sending the structured queries to the user, the sent structured queries being a personalized query.
Abstract translation: 在一个实施例中，一种方法包括访问包括多个节点和边缘的社交图。 第一节点对应于与在线社交网络相关联的第一用户，第二节点对应于概念或第二用户。 该方法还包括基于用户参与因素对第二节点的第一组节点进行评分。 该方法还包括将边缘连接的第一组节点的节点的共同节点识别为具有大于阈值分数的分数。 该方法还包括生成结构化查询并将结构化查询发送给用户，所发送的结构化查询是个性化查询。
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公开(公告)号：US10762300B1
公开(公告)日：2020-09-01
申请号：US16227673
申请日：2018-12-20
Applicant: Facebook, Inc.
Inventor： Jason E Weston , Antoine Bordes , Alexandre Lebrun , Martin Jean Raison
IPC: G06F40/35 , G06F3/0484 , G06F3/0482 , G06F16/332
Abstract: Techniques to predictively respond to user requests using natural language processing are described. In one embodiment, an apparatus may comprise a client communication component operative to receive a user service request from a user client; an interaction processing component operative to submit the user service request to a memory-based natural language processing component; generate a series of user interaction exchanges with the user client based on output from the memory-based natural language processing component, wherein the series of user interaction exchanges are represented in a memory component of the memory-based natural language processing component; and receive one or more operator instructions for the performance of the user service request from the memory-based natural language processing component; and a user interface component operative to display the one or more operator instructions in an operator console. Other embodiments are described and claimed.
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公开(公告)号：US10706481B2
公开(公告)日：2020-07-07
申请号：US15454716
申请日：2017-03-09
Applicant: Facebook, Inc.
Inventor： Maxime Boucher , Russell Lee-Goldman , Kathryn Hymes , Martin Jean Raison
IPC: G06F17/00 , G06F7/00 , G06Q50/00 , G06F16/248 , G06F16/242 , G06F16/9535 , G06F16/2457 , G06F16/9032 , G06Q30/02
Abstract: In one embodiment, a method includes scoring a set of content objects based on one or more user-engagement factors, identifying one or more related content objects, wherein each related content objects is connected within the online social network to one or more content objects of the set of content objects having a score greater than a threshold score, generating a plurality of structured queries that each comprise references to one or more content objects, wherein at least one of the structured queries is a personalized query comprising a reference to at least one of the related content objects, and sending instructions to a client device for presenting one or more of the generated structured queries to a first user for display on an interface currently accessed by the first user, wherein at least one of the sent structured queries is a personalized query.
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