International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Privacy Security in Personalized Web Search

Author : Mrs. Priyanka Deulkar ¹ Dr.A.D.Gawande ²

Date of Publication :7th July 2015

Abstract: One user hundred needs on internet. As more and more queries are being searched on the web, it is increasingly difficult to let the search engine know in what context user wants to search. Coping with ambiguous queries has long been an important part in the research of Information Retrieval, but still remains to be a challenging task. Personalized search has recently got significant attention to address this challenge in the web search community, based on the premise that a user’s general preference may help the search engine disambiguate the true intention of a query. In this paper, we implement an algorithm that returns relevant results to users based on their preferences keeping sensitive data more secure. Our experiments show that user's sensitive preferences can be preserved accurately from attacks. Our scheme provides an affordable overhead while offering privacy benefits to the users.

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