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ASME Press Select Proceedings

International Conference on Electronics, Information and Communication Engineering (EICE 2012)

By
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859971
No. of Pages:
1008
Publisher:
ASME Press
Publication date:
2012

In order to meet the needs of users' privacy preservation in personalized search, this paper proposes a ranking method of personalized search result for privacy preservation. Based on VSM (Vector Space Model), the method used secure dot-product computation to compute similarities in various search results. It aims at protecting users' privacy while improving the quality of personalized search service. The performance analysis result proves that the method can calculate faster and has lower communication overhead.

Abstract
Keywords
Introduction
Secure Multiparty Computation
Vector Space Model
Research on the Ranking Method for Privacy Preservation in Personalized
Search Results
The General Idea
Implementation Steps
Performance Analysis
Security Analysis
Communication Analysis
Time Complexity Analysis
Conclusions
Acknowledgments
References
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