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    • 7. 发明申请
    • USER BEHAVIOR DATA ANALYSIS METHOD AND DEVICE
    • 用户行为数据分析方法和设备
    • US20160379268A1
    • 2016-12-29
    • US15038948
    • 2015-02-10
    • TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    • Yajuan SONGYong LILei XIAOJinjing LIUTao WANGXiaoping LAIJie WANG
    • G06Q30/02G06N99/00
    • G06Q30/0269G06N5/025G06N20/00G06Q30/0241G06Q30/0255
    • A user behavior data analysis method and device, used to accurately analyze user behavior and make advertising more targeted. The method comprises: obtaining behavior data generated in a data source after a user is registered with the data source (101), the data source containing behavior data respectively generated by all users registered with the data source, and the behavior data being data information recording the behavior of a user in the data source; extracting a user label from the behavior data of the user generated in the data source (102), the user label being information indicative of user behavior; obtaining preset directed population characteristics (103), the directed population characteristics being characteristics possessed by the population meeting the directed characteristics requirement; according to the behavior data of the user generated in the data source and the user label, extracting a target user group complying with the directed population characteristics from all users in the data source (104), the target user group comprising a plurality of users complying with the directed population characteristics.
    • 用户行为数据分析方法和设备,用于准确分析用户行为并使广告更有针对性。 该方法包括:在用户向数据源(101)注册用户之后,获取在数据源中生成的行为数据,数据源包含分别由注册在数据源中的所有用户生成的行为数据,并且行为数据是数据信息记录 用户在数据源中的行为; 从在数据源(102)中生成的用户的行为数据中提取用户标签,用户标签是指示用户行为的信息; 获得预设的定向人口特征(103),指导人口特征是满足定向特征要求的人群拥有的特征; 根据在数据源和用户标签中生成的用户的行为数据,从数据源(104)中的所有用户提取符合有向群体特征的目标用户群,所述目标用户群包括多个符合用户 具有有针对性的人口特征。