Constructing Users Profiles with Content and Gesture Behaviors
Wang Qiangbing1,2, Zhang Chengzhi1,2,3()
1School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094, China 2Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094, China 3Jiangsu Key Laboratory of Data Engineering and Knowledge Service (Nanjing University), Nanjing 210093, China
[Objective] This paper constructs users profiles by gauging their interests from gesture behaviors and related contents from a mobile article reading system. [Context] Users profiles construction with content and gesture behaviors can identifies users’ mobile reading interests and profiles effectively. [Methods] First, we collected user gesture behaviors (such as tap, double tap, swipe, drag, pinch in/out) as well as corresponding contents from a mobile article reading system. Second, we established the users model based on the collected data and reading time. [Results] Users could find their own reading interests while browsing papers with our system, which help us build users profiles. [Conclusions] Users gesture behaviors reveal their reading interests, which could improve the performance of marketing and personalized recommendation systems.
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