Location-Based Place Determination Using Online Social Networks

    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.

    CPC classification number: H04W4/023 H04L51/32 H04W4/02

    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.

    Suppressing entity suggestions on online social networks

    公开(公告)号:US10795936B2

    公开(公告)日:2020-10-06

    申请号:US14935324

    申请日:2015-11-06

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving, by one or more computing devices of an online social network, from a client system of a first user of the online social network, a query inputted by the first user. The method further includes accessing a social graph of the online social network, the social graph including multiple nodes and multiple edges connecting the nodes, each node corresponding to an entity associated with the online social network. The method also includes identifying multiple entities matching the query, each identified entity having a duplication-value with respect to a canonical-entity, the duplication-values being based on a name similarity between the identified entity and the canonical-entity. The method also includes suppressing one or more entities of the identified entities based on the duplication-value of the entity and social-graph information associated with the entity.

    ELICITING EVENT-DRIVEN FEEDBACK IN A SOCIAL NETWORK

    公开(公告)号:US20200259912A1

    公开(公告)日:2020-08-13

    申请号:US16861585

    申请日:2020-04-29

    Applicant: Facebook, Inc.

    Abstract: Particular embodiments detect an indication of an event that is initiated on an online social network by a user and that is related to an entity associated with an activity that the user has engaged in. Based on the received indication, a social-networking system sends the user a request for follow-up information about the activity. After the follow-up information is received, the social-networking system retrieves contacts of the user and identifies contacts that have engaged in social activities on the online social network related to the entity. Recommendations for the entity are then sent to those identified contacts.

    Ranking of Place-Entities on Online Social Networks

    公开(公告)号:US20200177686A1

    公开(公告)日:2020-06-04

    申请号:US16781867

    申请日:2020-02-04

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving a query by a first user from a client system of the first user by computing devices of an online social network, accessing a social graph of the online social network, the social graph including multiple nodes and multiple edges connecting the nodes, each node corresponding to an entity associated with the online social network, identifying multiple entities matching the query, each identified entity having a duplication-value with respect to a canonical-entity, the duplication-values being based on a name similarity between the identified entity and the canonical-entity, suppressing one or more entities of the identified entities based on the duplication-value of the entity and social-graph information associated with the entity, and sending a search-results page to the client system for display to the first user, wherein the search-results page comprises references to one or more non-suppressed entities of the identified entities.

    Ranking of Place-Entities on Online Social Networks

    公开(公告)号:US20190158607A1

    公开(公告)日:2019-05-23

    申请号:US16251389

    申请日:2019-01-18

    Applicant: Facebook, Inc.

    CPC classification number: H04L67/18 H04L51/32 H04L67/22

    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.

    SUPPRESSING ENTITY SUGGESTIONS ON ONLINE SOCIAL NETWORKS

    公开(公告)号:US20170132226A1

    公开(公告)日:2017-05-11

    申请号:US14935324

    申请日:2015-11-06

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving, by one or more computing devices of an online social network, from a client system of a first user of the online social network, a query inputted by the first user. The method further includes accessing a social graph of the online social network, the social graph including multiple nodes and multiple edges connecting the nodes, each node corresponding to an entity associated with the online social network. The method also includes identifying multiple entities matching the query, each identified entity having a duplication-value with respect to a canonical-entity, the duplication-values being based on a name similarity between the identified entity and the canonical-entity. The method also includes suppressing one or more entities of the identified entities based on the duplication-value of the entity and social-graph information associated with the entity.

    Eliciting Event-Driven Feedback in a Social Network

    公开(公告)号:US20160044121A1

    公开(公告)日:2016-02-11

    申请号:US14887008

    申请日:2015-10-19

    Applicant: Facebook, Inc.

    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.

    Eliciting event-driven feedback in a social network after a time delay

    公开(公告)号:US10681158B2

    公开(公告)日:2020-06-09

    申请号:US14887008

    申请日:2015-10-19

    Applicant: Facebook, Inc.

    Abstract: Particular embodiments detect events associated with information about events and activities that a user has engaged in. The events may be of a particular type. An entity associated with an event may request that the user provide further information on the event and, 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 type or 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.

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