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公开(公告)号：US20160150048A1
公开(公告)日：2016-05-26
申请号：US14551184
申请日：2014-11-24
Applicant: Facebook, Inc.
Inventor： Jan Kalis , Tal Shumski
CPC classification number: H04L67/2847 , H04W4/029 , H04W4/21
Abstract: In one embodiment, a method includes determining a location of a user and downloading information that includes a number of locations and places in a geographic region, where the geographic region based at least in part on the location of the user. The method includes storing the information as data in a non-transitory computer-readable storage medium of the client computing device such that the data accessible by the client computing device during a time that the device is offline.
Abstract translation: 在一个实施例中，一种方法包括确定用户的位置并且下载包括地理区域中的多个位置和位置的信息，其中地理区域至少部分地基于用户的位置。 该方法包括将信息作为数据存储在客户端计算设备的非暂时计算机可读存储介质中，使得客户计算设备在设备离线时可访问的数据。
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公开(公告)号：US10699216B2
公开(公告)日：2020-06-30
申请号：US15354592
申请日：2016-11-17
Applicant: Facebook, Inc.
Inventor： Thomas Frederick Dimson , Taylor Gordon , Fei Huang , Jan Kalis , Justin T. Moore , Lars Seren Backstrom
Abstract: Systems, methods, and non-transitory computer-readable media can generate a set of candidate content items from a plurality of content items that are available in the social networking system for a first user. A corresponding score for each of the candidate content items can be generated based at least in part on one or more social affinity coefficients corresponding to the first user and a respective second user associated with a candidate content item, wherein a social affinity coefficient provides a quantitative measurement of the strength of a relationship between two users. A first set of content items from the set of candidate content items can be determined based at least in part on the respective scores, wherein content items in the first set are included in a content feed provided to the first user.
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Patent Agency Ranking
公开(公告)号：US10601933B2
公开(公告)日：2020-03-24
申请号：US16251389
申请日：2019-01-18
Applicant: Facebook, Inc.
Inventor： Jan Kalis , Justin Moore , Robert James Sicurelli, III
Abstract: In one embodiment, a method includes, by one or more computing devices of an online social network, receiving comparison information associated with two or more particular place-entities from a client system of a first user of the online social network, each particular place-entity being associated with a particular score on a first scoring scale and a first feature, ranking a scored list of place-entities comprising at least the two or more particular place-entities associated with the online social network based in part on the comparison information, wherein each place-entity of the scored list is associated with a score on the first scoring scale, and determining a place-classifier algorithm based at least in part on the ranked list of place-entities and one or more features associated with each place-entity of the ranked list, the one or more features comprising at least the first feature.
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公开(公告)号：US10271173B1
公开(公告)日：2019-04-23
申请号：US15971352
申请日：2018-05-04
Applicant: Facebook, Inc.
Inventor： Jan Kalis , Justin Moore , Jan Kodovsky , Aaron Bryan Adcock , Danielle Rothermel , Zhong Wang
Abstract: In one embodiment, a method includes sending information associated with multiple candidate place-entities to a user, receiving a selection of one candidate place-entity by the user, and updating the rating of the selected candidate place-entity on an online social network. In particular, the sending is based on calculated probabilities the candidate place-entities are associated with a particular geographic location.
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公开(公告)号：US10003922B2
公开(公告)日：2018-06-19
申请号：US15432457
申请日：2017-02-14
Applicant: Facebook, Inc.
Inventor： Jan Kalis , Justin Moore , Jan Kodovsky , Aaron Bryan Adcock , Danielle Rothermel , Zhong Wang
Abstract: In one embodiment, one or more computing devices of an online social network, receives, from a mobile-client system, geographic-location information associated with the mobile-client system. The one or more computing devices identify multiple candidate place-entities associated with the online social network that correspond to the geographic-location information, where each candidate place-entity is associated with a particular geographic location. The method also includes determining, for each candidate place-entity, a confidence score based on the geographic-location information associated with the mobile-client system, where the confidence score represents a probability that the first user is located at the candidate place-entity. A location-probability distribution associated with the candidate place-entity can also be used to calculate the confidence score. The one or more computing devices send, to the mobile-client system, information associated with one or more of the candidate place-entities based on their respective confidence scores.
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公开(公告)号：US20170199897A1
公开(公告)日：2017-07-13
申请号：US14990669
申请日：2016-01-07
Applicant: Facebook, Inc.
Inventor： Adriel Samuel Frederick , Benjamin Bregman , Robert James Sicurelli, III , Jan Kalis
IPC: G06F17/30
CPC classification number: G06F16/29 , G06F16/9535 , G06Q30/02 , G06Q30/0269 , G06Q50/01
Abstract: The present disclosure is directed toward systems and methods for inferring one or more qualities of a place based on social networking system activity associated that place. The present disclosure is also directed toward systems and methods for providing a multi-step search tool that utilizes the inferred qualities of places within a geographic area to provide a user with a more meaningful search experience.
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公开(公告)号：US09602965B1
公开(公告)日：2017-03-21
申请号：US14935263
申请日：2015-11-06
Applicant: Facebook, Inc.
Inventor： Jan Kalis , Justin Moore , Jan Kodovsky , Aaron Bryan Adcock , Danielle Rothermel , Zhong Wang
Abstract: In one embodiment, a method includes, by one or more computing devices of an online social network, receiving, from a mobile-client system of a first user of the online social network, geographic-location information associated with the mobile-client system. The method further includes identifying multiple candidate place-entities associated with the online social network that correspond to the geographic-location information, where each candidate place-entity is associated with a particular geographic location. The method also includes determining, for each candidate place-entity, a confidence score based on the geographic-location information associated with the mobile-client system and a location-probability distribution associated with the candidate place-entity, where the confidence score represents a probability that the first user is located at the candidate place-entity. The method also includes sending, to the mobile-client system of the first user, information associated with one or more of the candidate place-entities having a confidence score above a threshold confidence score.
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