基于行为感知的用户画像技术  

User profiling based on activity sensing

作　　者：尤明辉 殷亚凤[1] 谢磊[1] 陆桑璐[1] YOU Ming-hui;YIN Ya-feng;XIE Lei;LU Sang-lu(State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China)

机构地区：[1]南京大学计算机软件新技术国家重点实验室,江苏南京210023

出　　处：《浙江大学学报（工学版）》2021年第4期608-614,638,共8页Journal of Zhejiang University：Engineering Science

基　　金：国家自然科学基金资助项目(61802169,61872174,61832008,61902175,61906085);江苏省自然科学基金资助项目(BK20180325,BK20190293);江苏省重点研发基金资助项目(BE2018116);软件新技术与产业化协同创新中心资助项目.

摘　　要：为了在保护用户隐私的同时构建用户画像,提出基于行为感知的用户画像技术.采用智能手机内置的惯性传感器,可以感知识别用户使用手机的行为(如浏览阅读、打字聊天、通话等).通过识别的用户行为挖掘用户特性,如性别、社交性格、压力状态等,构建初步的用户画像.实验结果表明,利用该方法能够较好地识别用户行为并构建用户画像,其中行为识别的准确率为87.2%,针对性别、社交性格、压力状态3个具体用户特性的预测准确率分别为81.8%、72.7%、72.7%.A user profiling method based on activity sensing was proposed in order to build user profile while protecting their privacy.The built-in inertial sensors of the smart phone were used to sense the user activities(e.g.,browsing,typing,calling etc.).Then the recognized activities were used to mine user characteristics,such as social personality and stress level,in order to build a preliminary user profile.The experimental results show that the method can recognize user activities and build user profiles.The accuracy of activity recognition was 87.2%,while the accuracy of predictions for the three user characteristics in gender,social personality,and stress level was 81.8%,72.7%,72.7%,respectively.

关 键 词：智能手机 惯性传感器 行为感知 用户特性挖掘 用户画像 

分 类 号：TP3999[自动化与计算机技术—计算机应用技术]