AN ENHANCED PRIVACY PRESERVING SEARCH ENGINE FRAMEWORK USING GREEDY ALGORITHM
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2016, Vol 7, Issue 3
Abstract
By using internet, the user collect all the information. Because of weak search quality the users get irrelevant information. By using Personalized Web Search (PWS), this paper achieves the highquality search results. In the same manner, the user’s privacy also retained. In the existing system, they never used PWS technique. In the proposed system, the relevance and the privacy can be attained by using greedy procedure. In the user profile, the user preferences can be stored in the form of hierarchical structure. The greedy algorithms DP and IL are used to raise the discriminating power and minimizes the information loss.
Authors and Affiliations
A. Smilien Rophie , Dr. A. Anitha
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