Abstract: Systems and methods for approximating a user location are provided. For instance, historical location data and internet protocol address data can be analyzed to identify a plurality of locations. A confidence score for each of the plurality of locations can be determined. Two or more locations of the plurality of locations that form a cluster can be identified and the confidence scores for each of the two or more locations that form a cluster can be modified by adjusting each confidence score by a weight associated with the cluster.

Abstract: Systems and methods for inferring a current location of a user or device based on an analysis of a user location history are provided. In particular, when the current location of a device requesting a location-enhanced service cannot be determined with sufficient precision, a plurality of historical locations provided by the user location history can be scored according to a variety of parameters. The historical location receiving the highest score can be inferred to be the current location of the user, permitting the requested location-enhanced service to be performed.

Abstract: Systems and methods for approximating a user location are provided. For instance, historical location data and internet protocol address data can be analyzed to identify a plurality of locations. A confidence score for each of the plurality of locations can be determined. Two or more locations of the plurality of locations that form a cluster can be identified and the confidence scores for each of the two or more locations that form a cluster can be modified by adjusting each confidence score by a weight associated with the cluster.

Abstract: Systems and methods for approximating a user location are provided. For instance, historical location data and internet protocol address data can be analyzed to identify a plurality of locations. A confidence score for each of the plurality of locations can be determined. Two or more locations of the plurality of locations that form a cluster can be identified and the confidence scores for each of the two or more locations that form a cluster can be modified by adjusting each confidence score by a weight associated with the cluster.

Abstract: Systems and methods for inferring a current location of a user or device based on an analysis of a user location history are provided. In particular, when the current location of a device requesting a location-enhanced service cannot be determined with sufficient precision, a plurality of historical locations provided by the user location history can be scored according to a variety of parameters. The historical location receiving the highest score can be inferred to be the current location of the user, permitting the requested location-enhanced service to be performed.

Abstract: Provided are systems, methods, and computer-readable media for determining locations of interest to a user. User activity over a period of time is obtained and used to determine geographic entities (e.g., locations) of interest. The user activity is aggregated by geographic entity and a relevancy score is calculated for each geographic entity. The geographic entity having the highest score is stored as a location of interest in a location profile for the user. Multiple geographic entities having the highest specified number of relevancy scores may also be stored.