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    • 5. 发明申请
    • INFERRING USER PROFILE PROPERTIES BASED UPON MOBILE DEVICE USAGE
    • 基于移动设备使用来引入用户简介属性
    • WO2010093809A2
    • 2010-08-19
    • PCT/US2010023925
    • 2010-02-11
    • QUALCOMM INCKRISHNASWAMY DILIP
    • KRISHNASWAMY DILIP
    • H04L67/306G06Q30/02H04L67/025H04L67/22
    • Demographic information regarding a user of a mobile device is inferred by observing the user's mobile device usage behavior. Bayesian probability principles are applied to the observed usage behavior in order to infer a most likely demographic category classification. Probabilities of the user being a member of various demographic category classifications may be obtained from population surveys. Conditional probabilities of the user being a member of a behavior category classification given a demographic category classification may also be obtained from population surveys. A most likely user demographic category can be determined by calculating the product of the probability of the user being a member of each of the demographic category classifications and the first conditional probability of the user being a member of the behavior category classification, and identifying the demographic category classification that yields a maximum relative likelihood. The user demographic category may alternatively be determined by a table look up using the determined behavior category classification.
    • 通过观察用户的移动设备使用行为来推断关于移动设备的用户的人口统计信息。 贝叶斯概率原则适用于观察到的使用行为,以推断最可能的人口统计类别分类。 用户成为各种人口统计类别成员的概率可以从人口调查中获得。 给定人口统计类别分类的用户作为行为类别分类的成员的条件概率也可以从人口调查获得。 通过计算用户是每个人口统计类别分类的成员的概率和用户是行为分类分类的成员的第一个条件概率的乘积并且识别人口统计学分类,可以确定最可能的用户人口统计类别 产生最大相对可能性的类别分类。 可选地,用户人口统计类别可以通过使用所确定的行为类别分类的表格查找来确定。