期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：1
DOI：10.15680/ijircce.2015.0301107
出版社：S&S Publications
摘要：Personalized web search (PWS) has demonstrated its effectiveness in improving the quality of varioussearch services on the Internet. The surveys show that users’ reluctance to disclose their private information duringsearch has become a major barrier for the wide proliferation of PWS. To protect user privacy in profile-based PWS, wehave to consider two contradicting effects during the search process. On the one hand, to attempt to improve the searchquality with the personalization utility of the user profile. On the other hand, to need to hide the privacy contentsexisting in the user profile to place the privacy risk under control. A few surveys , suggest that people are willing tocompromise privacy if the personalization by supplying user profile yields better search quality. Here we use a moreefficient index structure, the Generalized Inverted IndeX (Ginix), which merges consecutive IDs in inverted lists intointervals to save storage space. With this index structure, more efficient algorithms can be devised to perform basickeyword search operations. Thus, user privacy can be protected without compromising the personalized search quality.Now, there is a tradeoff between the search quality and the level of privacy protection achieved from generalization.
关键词：Ginix; Keyword search; Privacy protection; personalized web search; profile
