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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60604
Title: | 社群網路之用戶隱私資料推知技術 User Profile Data Inference for Online Social Network |
Authors: | Chih-Hsien Yeh 葉治顯 |
Advisor: | 逄愛君(Ai-Chun Pang) |
Keyword: | 社群網路,推知,貝式定理, Social Network,Inference,Bayesian Theorem, |
Publication Year : | 2013 |
Degree: | 碩士 |
Abstract: | Currently, online social networks (OSNs) have become one of the most popular web
services. Billions of people share personal information and build social relations with others. Many service providers are interested in users' living areas for improving their quality of service. To gather users' living areas, one possible solution is to collect infor- mation of living areas from OSNs. Unfortunately, most of the users don't want to share this information to the public. An inference technique is needed for these service providers in order to develop these applications. In this thesis, we investigate and apply several methods including most-frequent, bayesian, and support vector machine (SVM) algorithms to infer users' living areas. An iterative algorithm is designed and implemented to infer user living area information while considering users' inclination to conceal personal data. We con- ducted our experiment by applying our method to a real world dataset, and the inference accuracy of the proposed method is (over than) 60%, which is much higher compared to non-iterative methods (13%). |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60604 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 資訊網路與多媒體研究所 |
Files in This Item:
File | Size | Format | |
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ntu-102-1.pdf Restricted Access | 1.74 MB | Adobe PDF |
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