113 Research on Privacy Preservation in Personalized Search

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.