Personalizing Web Search based on User Profile

Utage, Sharyu and Ahire, Vijaya Personalizing Web Search based on User Profile. IJCSN - International Journal of Computer Science and Network, 2016, vol. 5, n. 6. [Journal article (Unpaginated)]

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English abstract

Web Search engine is most widely used for information retrieval from World Wide Web. These Web Search engines help user to find most useful information. When different users Searches for same information, search engine provide same result without understanding who is submitted that query. Personalized web search it is search technique for proving useful result. This paper models preference of users as hierarchical user profiles. a framework is proposed called UPS. It generalizes profile and maintaining privacy requirement specified by user at same time.

Item type: Journal article (Unpaginated)
Keywords: Profile, Privacy Protection, Personalized Web Search, UPS, Generalization, Query
Subjects: L. Information technology and library technology > LC. Internet, including WWW.
Depositing user: IJCSN Journal
Date deposited: 09 Dec 2016 06:31
Last modified: 09 Dec 2016 06:31
URI: http://hdl.handle.net/10760/30466

References

[1] Lidan Shou,He Bai, Ke Chen,and Gang Chen, “Supporting privacy protection in personalized web search ” ieee transactions on knowledge and data engineering vol:26 no:2 year 2014 [2] 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. [3] 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 [4] M. Spertta and S. Gach, “Personalizing Search Based on User Search Histories,” Proc. IEEE/WIC/ACM Int’l Conf. Web Intelligence (WI), 2005 [5] 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 [6] 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 [7] 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. [8] 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), 2005 [9] 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 [10] 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. [11] K. Hafner, Researchers Yearn to Use AOL Logs, but They Hesitate, New York Times, Aug. 2006. [12] A. Krause and E. Horvitz, “A Utility-Theoretic Approach to Privacy in Online Services,” J. Artificial Intelligence Research, vol. 39, pp. 633-662, 2010. [13] 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. [14] 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. [15] 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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