Abstract: Systems and methods including mobile devices determining their locations using location determination units, such as GPS receivers. A computing device generates a statistical measurement of location pattern changes in relation to a predetermined region for a predetermined period of time. The measurement is generated from a difference between responses of exposed mobile devices and responses of non-exposed mobile devices, which devices are selected based on a cluster analysis to match the distributions of the exposed mobile devices and the non-exposed mobile devices in an attribute space. Each response of a mobile device can be computed based on applying, at a time instance, an anti-symmetric weight function having an exponential distribution to a time series of visitation measurements to generate a response corresponding to the time instance, and summing the responses corresponding to time instances falling within the predetermined period of time as the response of the mobile device.

Abstract: Systems and methods including a database storing the identifiers of cells representing residential parcels of real estate properties. Mobile devices determine the coordinates of their locations during a period of time using a location determination system, such as a global positioning system. The coordinates are converted to cell identifiers to look up corresponding residential parcels that have been visited by the mobile devices. A server generates a visitation data set for each residential parcel visited by each mobile device, including different types of frequencies of the mobile device visiting the residential parcel (e.g., night, weekend). A server filters the residential parcels based on visitation frequencies to identify home candidates and then further filters the home candidates based on the count of mobile devices having the home candidates. A home parcel, and thus its address, is identified from the filtered home candidate(s) for each mobile device.

Abstract: Systems and methods including computing patterns of visitation to predefined regions by converting coordinates of mobile devices to cell identifiers and searching a database to find matches between cell identifiers representing regions and the cell identifiers of the device locations. Devices having similar visitation patterns are divided into two groups, based on status data of whether or not information about a region has been transmitted to respective users. The visitation patterns after the transmission are compared by a system between the two groups to measure a difference. Identifiers of devices, users, or households are initially provided to the system without the status data to obtain attributes associated individually with the identifiers. In return, the system is provided with the status data associated with the attributes individually for the devices, users, or households but without sufficient information to map the status data individually to the identifiers of the devices, users, or households.

Abstract: Location graph-based derivation of user attributes is disclosed. In various embodiments, location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Abstract: Systems and methods including a database storing the identifiers of cells representing residential parcels of real estate properties. Mobile devices determine the coordinates of their locations during a period of time using a location determination system, such as a global positioning system. The coordinates are converted to cell identifiers to look up corresponding residential parcels that have been visited by the mobile devices. A server generates a visitation data set for each residential parcel visited by each mobile device, including different types of frequencies of the mobile device visiting the residential parcel (e.g., night, weekend). A server filters the residential parcels based on visitation frequencies to identify home candidates and then further filters the home candidates based on the count of mobile devices having the home candidates. A home parcel, and thus its address, is identified from the filtered home candidate(s) for each mobile device.

Abstract: Systems and methods including mobile devices determining their location using a location determination system, such as a global positioning system. A database stores the identifiers of cells representative of predefined regions in a hierarchical grid system. The location coordinates as function of time are converted to visitation patterns of the mobile devices to the predefined regions, based on converting the coordinates to cell identifiers and searching the database to find matches between the cell identifiers representing the regions and the cell identifiers representing the mobile device locations. For example, mobile devices having similar visitation patterns can be identified and divided into two groups; and information relevant to a region is transmitted to one of the group but not another. The visitation patterns of the two group after the transmission is identified and compared to measure a difference.

Abstract: Systems and methods including a mobile device determining the coordinates of its location using a location determination system, such as a global positioning system. A database stores the identifiers of cells representative of predefined regions in a hierarchical grid system. A server computer or the mobile device converts the coordinates of the location to one or more cell identifiers at different grid resolution levels and searches the database to find a match between the cell identifiers representing the regions and the cell identifiers representing the location of the mobile device to determine one or more regions in which the mobile device is located. For example, the hierarchical grid system can be constructed in a longitude latitude space of location coordinates, with resolution levels aligned with decimal precision levels of the location coordinates; and the cell identifiers can be constructed from the digits of the longitude and latitude coordinates.

Abstract: Systems and methods including a database storing the identifiers of cells representing residential parcels of real estate properties. Mobile devices determine the coordinates of their locations during a period of time using a location determination system, such as a global positioning system. The coordinates are converted to cell identifiers to look up corresponding residential parcels that have been visited by the mobile devices. A server generates a visitation data set for each residential parcel visited by each mobile device, including different types of frequencies of the mobile device visiting the residential parcel (e.g., night, weekend). A server filters the residential parcels based on visitation frequencies to identify home candidates and then further filters the home candidates based on the count of mobile devices having the home candidates. A home parcel, and thus its address, is identified from the filtered home candidate(s) for each mobile device.