Facebook, Inc.

Jan Kodovsky

Aaron Bryan Adcock

Justin Moore

Jan Kalis

Danielle Rothermel

Zhong Wang

Wayne Kao

Gregory Paul Whalin

Abhishek Parthasarathy

Konrad Komorowski

An online system maintains various labels identifying physical locations, allowing users to identify a physical location to the online system by specifying the label identifying the physical location. When a user does not identify a label corresponding to location coordinates provided to the online system by a client device, the online system selects a maintained label and prompts the user to indicate whether the user visited the physical location identified by the selected label. To select the label, the online system accounts for likelihoods of the received location coordinates being identified by various labels and values of the online system of identifying whether different labels identify received location coordinates. The online system may also account for other prompts presented to the user or to other users when determining whether to prompt the user to indicate whether the user visited the physical location identified by the selected label.

Determining correlations between locations associated with a label and physical locations based on information received from users providing physical locations to an online system

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.

Location-based place determination using online social networks

Exemplary methods, apparatuses, and systems receive input associated with a social networking system user account. The input includes content to be published to the social networking system. In response to the received input, one or more location suggestions are identified based upon the content. The one or more identified location suggestions are transmitted to a user device associated with the user account. Selection of a location suggestion is received. The content and selected location is published as a post within the social networking system.

Location suggestion based upon social networking post content

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.

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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Rochester, NY, United States of America

Jan Kodovsky