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公开(公告)号：US20170156033A1
公开(公告)日：2017-06-01
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：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：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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