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Predicting Mental Health Status in the Context of Web Browsing
Nie, D (Nie, Dong); Ning, Y (Ning, Yue); Zhu, TS (Zhu, Tingshao)
2012
通讯作者邮箱tszhu@psych.ac.cn
会议名称11th IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
会议录名称2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS (WI-IAT WORKSHOPS
页码185-189
会议日期DEC 04-07, 2012
会议地点Macau, PEOPLES R CHINA
摘要

Currently, people around the world are suffering from mental disorders. Given the wide-spread use of the Internet, we propose to predict users' mental health status based on browsing behavior, and further recommend suggestions for adjustment. To identify mental health status, we extract the user's web browsing behavior, and train a Support Vector Machine(SVM) model for prediction. Based on the predicted status, our recommender system generates suggestions for adjusting mental disorders. We have implemented a system named WebMind as the experimental platform integrated with the predicting model and recommendation engine. We have conducted user study to test the effectiveness of the predicting model, and the result demonstrates that the recommender system performs fairly well.

关键词Mental Health Web Browsing Behavior Prediction And Recommendation
DOI10.1109/WI-IAT.2012.196
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/26556
专题社会与工程心理学研究室
作者单位Univ Chinese Acad Sci, CAS, Inst Psychol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Nie, D ,Ning, Y ,Zhu, TS . Predicting Mental Health Status in the Context of Web Browsing[C],2012:185-189.
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