Abstract: Apps may be tagged with location data when they are used. Mobile device may anonymously submit app usage data. Aggregated app usage data from many mobile devices may be analyzed to determine apps that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the app usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular app, the device populations in a particular area, etc. Based on the localized app analysis, apps may be ranked according to local relevance, and, based on this ranking, app recommendations may be provided to a user.

Abstract: A method for location estimation of a mobile device using operational data of a wireless network includes creating a geospatial model of a wireless network. The geospatial model may include a geometry representative of coverage area of each antenna in the wireless network. The geometry may be created, by the modeling module, based on a tower data of the wireless network and an operational data from the wireless network. The geospatial model may further include range bands for each antenna, created based on the operational data. In addition, the method includes generating, by the modeling module, a geospatial model of geospatial features for an area of the wireless network. Further, the method includes determining, by a location module, the location of the mobile device in the wireless network based on the geospatial model of a wireless network, the geospatial model of geospatial features and real-time operational data.