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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (2): 80-86    DOI: 10.11925/infotech.2096-3467.2017.02.11
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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
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Abstract  

[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.

Key wordsGesture Behaviors      Mobile Device      Text Mining      User Modeling     
Received: 25 August 2016      Published: 27 March 2017
ZTFLH:  G350  

Cite this article:

Wang Qiangbing,Zhang Chengzhi. Constructing Users Profiles with Content and Gesture Behaviors. Data Analysis and Knowledge Discovery, 2017, 1(2): 80-86.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.02.11     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I2/80

手势行为 pinch in/out drag tap
pinch in/out 1 3 5
drag 1/3 1 4
tap 1/5 1/4 1
手势行为 pinch in/out drag tap swipe
权重 0.6267 0.2797 0.0936 0
userID documentID time type touchHtml
user1 32 2016-01-10 13: 47: 01 drag paragraph1
user1 32 2016-01-10 13: 47: 02 drag paragraph1
user1 32 2016-01-10 13: 47: 13 drag paragraph2
user1 32 2016-01-10 13: 47: 14 drag paragraph2
user1 32 2016-01-10 13: 47: 19 drag paragraph3
user1 32 2016-01-10 13: 47: 20 drag paragraph3
user1 32 2016-01-10 13: 47: 25 drag paragraph3
user1 32 2016-01-10 13: 47: 55 tap paragraph4
user1 32 2016-01-10 13: 48: 17 drag paragraph5
user1 32 2016-01-10 13: 48: 18 drag paragraph5
user1 32 2016-01-10 13: 48: 19 drag paragraph5
user1 32 2016-01-10 13: 48: 20 drag paragraph5
user1 32 2016-01-10 13: 48: 39 drag paragraph6
user1 32 2016-01-10 13: 48: 40 drag paragraph6
user1 32 2016-01-10 13: 48: 41 drag paragraph6
user1 32 2016-01-10 13: 48: 42 drag paragraph6
user1 32 2016-01-10 13: 48: 43 drag paragraph6
user1 32 2016-01-10 13: 48: 45 drag paragraph6
userID documentID readtime dragtime swipetime taptime pinchintime pinchouttime touchHtml
user1 32 0分12秒 1 0 0 0 0 paragraph1
user1 32 0分6秒 2 0 0 0 0 paragraph2
user1 32 0分36秒 2 0 0 0 0 paragraph3
user1 32 0分22秒 0 0 1 0 0 paragraph4
user1 32 0分22秒 2 0 0 0 0 paragraph5
user1 32 0分6秒 4 0 0 0 0 paragraph6
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