Abstract: Systems and computerized methods for determining patterns in user activity such that user contextual information can be provided based on the patterns. Historic data associated with a first user is received and entity information is determined based on the historic data. Current location data associated with the first user is received and prediction information is generated based on a combination of the entity information and the current location data for a current time period. Contextual insight information is determined based on a combination of the prediction information with at least one of the current location data, real time data, and contextual data, the contextual insight information including a recommendation of at least one of an activity, a purchase, and an accessory associated with the current location of the first user.

Abstract: Systems and methods for passively processing a payment for an activity that leverages location data of a user participating in the activity. User data is received, the user data including a plurality of user location points and a time associated with each of the plurality of user location points. An activity is determined, the activity associated with the user based on the user data, wherein the activity is associated with at least one of transportation and attendance at a venue. An instance of the activity is identified and a payment amount for the user is processed based on the instance of the activity.

Abstract: Systems and methods for providing location-based recommendation to a user that leverages common characteristics between the user and other users in a network such that the common characteristics are derived based on monitoring and analyzing user information at different times and locations. A computing device receives information associated with each of a plurality of entities in a network, including a transaction and an activity, the transaction and the activity each being associated with a location and a time. The computing device receives updated information and creates a data structure relating the first entity and a subset of the plurality of entities based on the updated information. The computing device determines a recommendation related to the updated information, calculates a relevance value between entities in the subset of entities, and transmits the recommendation to one of the entities.

Abstract: Techniques for determining a location of a user based on locations of other users. First user location information and second user location information is received. The first user location information includes a first centroid and first radius associated with a first user position and the second user location information includes a second centroid and second radius associated with a second user position. The second user is further associated with second user venue information. A venue correlation score between the first user and the second user is determined based on an amount of overlap between the first user radius and the second user radius and a social metric indicating a strength of a social relationship between the first user and second user. Venue information for the first user is created based on the second user venue information when the relationship score exceeds a threshold value.

Abstract: Techniques for determining a location of a user based on locations of other users. First user location information and second user location information is received. The first user location information includes a first centroid and first radius associated with a first user position and the second user location information includes a second centroid and second radius associated with a second user position. The second user is further associated with second user venue information. A venue correlation score between the first user and the second user is determined based on an amount of overlap between the first user radius and the second user radius and a social metric indicating a strength of a social relationship between the first user and second user. Venue information for the first user is created based on the second user venue information when the relationship score exceeds a threshold value.

Abstract: Techniques for determining a location of a user based on locations of other users. First user location information and second user location information is received. The first user location information includes a first centroid and first radius associated with a first user position and the second user location information includes a second centroid and second radius associated with a second user position. The second user is further associated with second user venue information. A venue correlation score between the first user and the second user is determined based on an amount of overlap between the first user radius and the second user radius and a social metric indicating a strength of a social relationship between the first user and second user. Venue information for the first user is created based on the second user venue information when the relationship score exceeds a threshold value.