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：4
DOI：10.15680/ijircce.2015.0304073
出版社：S&S Publications
摘要：Internet of things is in its peak in today’s world. The web search is the widely performing task in theinternet world. When the query is searched over web should provide the relevant information to the users. Theirrelevant results may annoy the users and hence the efficiency of the query search should be improved. To improve thesearch, personalized web search framework is proposed to retrieve the data based on user’s interest. When theinformation is retrieved based on user’s interest, user’s profile will be publicly available. In this paper, the User’sprofile is also protected to handle privacy threats using generalization technique with Greedy Discriminating Power andGreedy Info Loss algorithm. The efficiency of search is improved by transferring the query with user’s profile to theweb server to retrieve the results. If the results are not satisfied to the user then the re-ranking technique is proposed toretrieve the most relevant search results
关键词：personalised web search; user’s profile protection; re-ranking; generalization; search utility
