Implementation And Evaluation Of Privacy Preserving Protocol

M.Lakshmi Priyanka, Chaithanyaa Deepthi


Now a day’s web search portals provide information to different kinds of people. But it is providing irrelevant information that is not related to user requirements. To improve results accuracy we introducing new framework named as personalized web search along with user customizable personal search which provides relevant results and privacy for user given query.In this framework including two algorithms those are greedyDP and greedyIL for online generalization.


Z. Dou, R. Song, and J.-R. Wen, “A Large-Scale Evaluation and Analysis of Personalized Search Strategies,” Proc. Int’l Conf. World Wide Web (WWW), pp. 581-590, 2007.

J. Teevan, S.T. Dumais, and E. Horvitz, “Personalizing Search via Automated Analysis of Interests and Activities,” Proc. 28th Ann. Int’l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR), pp. 449-456, 2005.

M. Spertta and S. Gach, “Personalizing Search Based on User Search Histories,” Proc. IEEE/WIC/ACM Int’l Conf. Web Intelligence (WI), 2005.

B. Tan, X. Shen, and C. Zhai, “Mining Long-Term Search History to Improve Search Accuracy,” Proc. ACM SIGKDD Int’l Conf. Knowledge Discovery and Data Mining (KDD), 2006.

K. Sugiyama, K. Hatano, and M. Yoshikawa, “Adaptive Web Search Based on User Profile Constructed without any Effort from Users,” Proc. 13th Int’l Conf. World Wide Web (WWW), 2004.

X. Shen, B. Tan, and C. Zhai, “Implicit User Modeling for Personalized Search,” Proc. 14th ACM Int’l Conf. Information and Knowledge Management (CIKM), 2005.

X. Shen, B. Tan, and C. Zhai, “Context-Sensitive Information Retrieval Using Implicit Feedback,” Proc. 28th Ann. Int’l ACM SIGIR Conf. Research and Development Information Retrieval (SIGIR),

F. Qiu and J. Cho, “Automatic Identification of User Interest for Personalized Search,” Proc. 15th Int’l Conf. World Wide Web (WWW), pp. 727-736, 2006.

J. Pitkow, H. Schu¨ tze, T. Cass, R. Cooley, D. Turnbull, A. Edmonds, E. Adar, and T. Breuel, “Personalized Search,” Comm. ACM, vol. 45, no. 9, pp. 50-55, 2002.

Y. Xu, K. Wang, B. Zhang, and Z. Chen, “Privacy-Enhancing Personalized Web Search,” Proc. 16th Int’l Conf. World Wide Web (WWW), pp. 591-600, 2007.

K. Hafner, Researchers Yearn to Use AOL Logs, but They Hesitate, New York Times, Aug. 2006.

A. Krause and E. Horvitz, “A Utility-Theoretic Approach to Privacy in Online Services,” J. Artificial Intelligence Research, vol. 39, pp. 633-662, 2010.

J.S. Breese, D. Heckerman, and C.M. Kadie, “Empirical Analysis of Predictive Algorithms for Collaborative Filtering,” Proc. 14th Conf. Uncertainty in Artificial Intelligence (UAI), pp. 43-52, 1998.

P.A. Chirita, W. Nejdl, R. Paiu, and C. Kohlschu¨ tter, “Using ODP Metadata to Personalize Search,” Proc. 28th Ann. Int’l ACM SIGIR Conf. Research and Development Information Retrieval (SIGIR), 2005.

A. Pretschner and S. Gauch, “Ontology-Based Personalized Search and Browsing,” Proc. IEEE 11th Int’l Conf. Tools with Artificial Intelligence (ICTAI ’99), 1999.

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