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公开(公告)号：US09990745B2
公开(公告)日：2018-06-05
申请号：US13689956
申请日：2012-11-30
Applicant: Facebook, Inc.
Inventor： Peter Xiu Deng , Joshua Williams
CPC classification number: G06T11/206 , G06Q30/0241 , G06Q30/0278 , G06Q50/01 , H04L51/14 , H04L51/32
Abstract: In one embodiment, a method includes receiving a number of recommendations for a first user. Each recommendation being made by a second user and including information that: identifies an item being recommended; provides an explanation for the recommendation; identifies the first user as an addressee of the recommendation; and identifies the second user as an author of the recommendation. The method also includes providing for presentation to the first user one or more of the recommendations.
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公开(公告)号：US09461902B2
公开(公告)日：2016-10-04
申请号：US14882739
申请日：2015-10-14
Applicant: Facebook, Inc.
Inventor： Michael Dudley Johnson , Joshua Williams
IPC: G06F15/16 , H04L12/26 , H04W4/20 , G01S5/00 , G01C21/34 , G08G1/00 , G08G1/0968 , G01C21/36 , H04W4/02
CPC classification number: H04W4/21 , G01C21/3484 , G01C21/3617 , G01S5/0027 , G08G1/096888 , G08G1/20 , H04L43/0876 , H04W4/021 , H04W4/029 , H04W88/02
Abstract: In one embodiment, a method includes receiving first data indicating a current usage of a mobile device by a user. The method includes accessing second data associated with past user states of the user, where each user state corresponds to a temporal, spatial, or modal accessibility of the user. A future user state of the user is determined based on a weighted set of predictor functions, each predictor function comprising a machine-learned algorithm for a particular user state. The probability of each user state is based on past user states of the second data, wherein each past user state is weighted by a decay factor based on the corresponding time. One of the user states is selected as the future user state, and the operation of the mobile device is adapted at a future time to account for that future user state.
Abstract translation: 在一个实施例中，一种方法包括接收指示用户当前使用移动设备的第一数据。 该方法包括访问与用户的过去用户状态相关联的第二数据，其中每个用户状态对应于用户的时间，空间或模态可及性。 基于预测器功能的加权集合来确定用户的未来用户状态，每个预测器功能包括用于特定用户状态的机器学习算法。 每个用户状态的概率基于第二数据的过去用户状态，其中每个过去的用户状态基于对应的时间由衰减因子加权。 选择其中一个用户状态作为将来的用户状态，并且移动设备的操作在未来的时间被调整以考虑未来的用户状态。
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公开(公告)号：US20160044120A1
公开(公告)日：2016-02-11
申请号：US14886976
申请日：2015-10-19
Applicant: Facebook, Inc.
Inventor： Joshua Williams , Daniel Jeng-Ping Hui , Mao Xue , Jason Brewer , Justin Moore , Keegan Jones
IPC: H04L29/08
CPC classification number: H04L67/22 , H04L67/306
Abstract: Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.
Abstract translation: 具体实施例检测与用户所参与的活动相关联的事件。活动可以与位置或位置无关。 根据收到的信息，社交网络系统在适当的时间延迟后向用户发送后续信息请求。 时间延迟可能会根据用户活动和触发请求的事件的上下文而有所不同。 在接收到后续信息之后，这样的信息被存储在社交网络系统中，并且可以用于确定向用户的朋友发送的建议，赞助的故事，广告等。 该信息也可用于排名或过滤建议。
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公开(公告)号：US20160036679A1
公开(公告)日：2016-02-04
申请号：US14882739
申请日：2015-10-14
Applicant: Facebook, Inc.
Inventor： Michael Dudley Johnson , Joshua Williams
CPC classification number: H04W4/21 , G01C21/3484 , G01C21/3617 , G01S5/0027 , G08G1/096888 , G08G1/20 , H04L43/0876 , H04W4/021 , H04W4/029 , H04W88/02
Abstract: In one embodiment, a method includes receiving first data indicating a current usage of a mobile device by a user. The method includes accessing second data associated with past user states of the user, where each user state corresponds to a temporal, spatial, or modal accessibility of the user. A future user state of the user is determined based on a weighted set of predictor functions, each predictor function comprising a machine-learned algorithm for a particular user state. The probability of each user state is based on past user states of the second data, wherein each past user state is weighted by a decay factor based on the corresponding time. One of the user states is selected as the future user state, and the operation of the mobile device is adapted at a future time to account for that future user state.
Abstract translation: 在一个实施例中，一种方法包括接收指示用户当前使用移动设备的第一数据。 该方法包括访问与用户的过去用户状态相关联的第二数据，其中每个用户状态对应于用户的时间，空间或模态可及性。 基于预测器功能的加权集合来确定用户的未来用户状态，每个预测器功能包括用于特定用户状态的机器学习算法。 每个用户状态的概率基于第二数据的过去的用户状态，其中每个过去的用户状态基于对应的时间由衰减因子加权。 选择其中一个用户状态作为将来的用户状态，并且移动设备的操作在未来的时间被调整以考虑未来的用户状态。
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Patent Agency Ranking
公开(公告)号：US09210228B2
公开(公告)日：2015-12-08
申请号：US13711431
申请日：2012-12-11
Applicant: Facebook, Inc.
Inventor： Joshua Williams , Daniel Jeng-Ping Hui , Mao Xue , Jason Brewer , Justin Moore , Keegan Jones
CPC classification number: H04L67/22 , G06Q50/01 , H04L67/306
Abstract: Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.
Abstract translation: 具体实施例检测与用户所参与的活动相关联的事件。活动可以与位置或位置无关。 根据收到的信息，社交网络系统在适当的时间延迟后向用户发送后续信息请求。 时间延迟可能会根据用户活动和触发请求的事件的上下文而有所不同。 在接收到后续信息之后，这样的信息被存储在社交网络系统中，并且可以用于确定向用户的朋友发送的建议，赞助的故事，广告等。 该信息也可用于排名或过滤建议。
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公开(公告)号：US10776968B2
公开(公告)日：2020-09-15
申请号：US15984020
申请日：2018-05-18
Applicant: Facebook, Inc.
Inventor： Peter Xiu Deng , Joshua Williams
Abstract: In one embodiment, a method includes receiving multiple recommendations for a first user from multiple second users and the multiple recommendations are associated with multiple objects. The multiple second users select the first user as the addresses of the multiple recommendations. The method also includes determining that the first user is near a geo-location and recommending to the first user multiple objects that are associated with the geo-location.
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公开(公告)号：US10264416B2
公开(公告)日：2019-04-16
申请号：US15909810
申请日：2018-03-01
Applicant: Facebook, Inc.
Inventor： Michael Dudley Johnson , Joshua Williams
IPC: G06F15/16 , H04W4/21 , H04L12/26 , H04W4/021 , H04W4/029 , G01S5/00 , G01C21/34 , G08G1/00 , G08G1/0968 , G01C21/36 , H04W88/02
Abstract: In one embodiment, a computing system accesses current usage information of a mobile device associated with a user. The computing system then determine a future user state of the user based on multiple predictor functions. The multiple predictor functions calculate a probability of the future user state based on multiple weights and multiple decay factors. The multiple decay factors are determined from past user states. The computing system further sends instructions to the mobile device for adapting the operation of the mobile device corresponding to the determined future user state.
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公开(公告)号：US20180192263A1
公开(公告)日：2018-07-05
申请号：US15909810
申请日：2018-03-01
Applicant: Facebook, Inc.
Inventor： Michael Dudley Johnson , Joshua Williams
IPC: H04W4/21 , H04W4/029 , H04W4/021 , H04L12/26 , G01C21/36 , G01C21/34 , G01S5/00 , G08G1/00 , H04W88/02 , G08G1/0968
CPC classification number: H04W4/21 , G01C21/3484 , G01C21/3617 , G01S5/0027 , G08G1/096888 , G08G1/20 , H04L43/0876 , H04W4/021 , H04W4/029 , H04W88/02
Abstract: In one embodiment, a computing system accesses current usage information of a mobile device associated with a user. The computing system then determine a future user state of the user based on multiple predictor functions. The multiple predictor functions calculate a probability of the future user state based on multiple weights and multiple decay factors. The multiple decay factors are determined from past user states. The computing system further sends instructions to the mobile device for adapting the operation of the mobile device corresponding to the determined future user state.
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公开(公告)号：US20160366573A1
公开(公告)日：2016-12-15
申请号：US15246349
申请日：2016-08-24
Applicant: Facebook, Inc.
Inventor： Michael Dudley Johnson , Joshua Williams
CPC classification number: H04W4/21 , G01C21/3484 , G01C21/3617 , G01S5/0027 , G08G1/096888 , G08G1/20 , H04L43/0876 , H04W4/021 , H04W4/029 , H04W88/02
Abstract: In one embodiment, a computing system receives an indication of current mobile device usage by a user. The user is also associated with one or more past user states that are accessible to the computing system. The computing system selects a future user state of the user based on a calculated probability of a possible future user state. The possible future user state is calculated based on the current mobile-device usage and the past user states. For each past user states, a weight based on a time delay factor is used. Based on the selected future user state, the operation of a mobile device of the user is adapted at the future time corresponding to the future user state.
Abstract translation: 在一个实施例中，计算系统接收用户当前移动设备使用的指示。 用户还与计算系统可访问的一个或多个过去的用户状态相关联。 计算系统基于计算出的未来用户状态的概率来选择用户的未来用户状态。 可能的未来用户状态是基于当前的移动设备使用情况和过去的用户状态来计算的。 对于每个过去的用户状态，使用基于时间延迟因子的权重。 基于所选择的未来用户状态，对应于未来用户状态的将来的时间对用户的移动设备的操作进行调整。
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