发明名称 LOCATION-BASED ANALYTIC PLATFORM AND METHODS
摘要 Provided is a process of learning an audience member function, the process including: obtaining a training set of geographic data describing geolocation histories of a plurality of mobile devices, wherein members of the training set are classified according to whether the respective member of the training set is a member of an audience; retrieving attributes of geolocations in the geolocation histories from a geographic information system; learning feature functions of an audience member function based on the training set, wherein at least some of the feature functions are a function of the retrieved attributes of geolocation, wherein the feature functions are learned, at least in part, by calculating a plurality of impurity measures for candidate feature functions and selecting one of the candidate feature functions based on the relative values of the impurity measures; and storing the feature functions of the audience member function in an audience repository.
申请公布号 US2015199699(A1) 申请公布日期 2015.07.16
申请号 US201514667371 申请日期 2015.03.24
申请人 PlaceIQ, Inc. 发明人 Milton Stephen;McCall Duncan
分类号 G06Q30/02 主分类号 G06Q30/02
代理机构 代理人
主权项 1. A method of learning an audience member function, the method comprising: obtaining, with one or more processors, a training set of geographic data describing geolocation histories of a plurality of mobile devices, wherein members of the training set are classified according to whether the respective member of the training set is a member of an audience; retrieving, with one or more processors, attributes of geolocations in the geolocation histories from a geographic information system; learning, with one or more processors, feature functions of an audience member function based on the training set, wherein at least some of the feature functions are a function of the retrieved attributes of geolocation, wherein the feature functions are learned, at least in part, by calculating a plurality of impurity measures for candidate feature functions and selecting one of the candidate feature functions based on the relative values of the impurity measures; and storing, with one or more processors, the feature functions of the audience member function in an audience repository.
地址 New York NY US