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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)
First AuthorNie, D (Nie, Dong)
2012
Conference Name11th IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Correspondent Emailtszhu@psych.ac.cn
Source Publication2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS (WI-IAT WORKSHOPS
Volume3
Issue不详
Pages185-189
Conference DateDEC 04-07, 2012
Conference PlaceMacau, PEOPLES R CHINA
Abstract

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.

KeywordMental Health Web Browsing Behavior Prediction And Recommendation
DOI10.1109/WI-IAT.2012.196
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26556
Collection社会与工程心理学研究室
AffiliationUniv Chinese Acad Sci, CAS, Inst Psychol, Beijing 100190, Peoples R China
Recommended Citation
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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