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Evaluating the Effectiveness of Web Search Metrics

by J. Jayanthi, M. Ezhilmathi, S. Rathi
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 10
Year of Publication: 2012
Authors: J. Jayanthi, M. Ezhilmathi, S. Rathi
10.5120/ijais12-450818

J. Jayanthi, M. Ezhilmathi, S. Rathi . Evaluating the Effectiveness of Web Search Metrics. International Journal of Applied Information Systems. 4, 10 ( December 2012), 28-35. DOI=10.5120/ijais12-450818

@article{ 10.5120/ijais12-450818,
author = { J. Jayanthi, M. Ezhilmathi, S. Rathi },
title = { Evaluating the Effectiveness of Web Search Metrics },
journal = { International Journal of Applied Information Systems },
issue_date = { December 2012 },
volume = { 4 },
number = { 10 },
month = { December },
year = { 2012 },
issn = { 2249-0868 },
pages = { 28-35 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number10/396-0818/ },
doi = { 10.5120/ijais12-450818 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:48:11.271201+05:30
%A J. Jayanthi
%A M. Ezhilmathi
%A S. Rathi
%T Evaluating the Effectiveness of Web Search Metrics
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 10
%P 28-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software metrics are the key performance indicators, using which the performance of a system can be assessed quantitatively. Metrics can also be applied for personalized web search which can be used to retrieve relevant results for each individual user depending on their unique profile. Although personalized search based on user profile has been under research for many years and various metrics have been proposed, it is still uncertain whether personalization is unswervingly effective on different queries for different user profiles. A framework for personalized search which retrieves result based on user profile has been presented in this paper. User profile is maintained in the form of preference network (PN). Further metrics for ranking the search results based on user profile is also proposed.

References
  1. Z. Dou, R. Song, J. -R. Wen and X. Yuan, "Evaluating the Effectiveness of Personalized Web Search", IEEE Trans. Knowledge and Data Eng. , vol. 21, no. 8, pp. 1178-1190, August 2009.
  2. F. Liu, C. Yu, and W. Meng, "Personalized Web Search forImproving Retrieval Effectiveness," IEEE Trans. Knowledge and Data Eng. , vol. 16, no. 1, pp. 28-40, Jan. 2004.
  3. J. Jayanthi, B. Keerthana and K. S. Jayakumar, "Building User Profile Based on Preference Networks", International Journal of Web Engineering, pp. 11-14, 2012.
  4. A. Pretschner and S. Gauch, "Ontology Based PersonalizedSearch," Proc. 11th IEEE Int'l Conf. Tools with Artificial Intelligence (ICTAI '99), pp. 391-398, 1999.
  5. P. -A. Chirita, W. Nejdl, R. Paiu, and C. Kohlschutter, "UsingODP Metadata to Personalize Search," Proc. 28th Ann. Int'lACM SIGIR Conf. Research and Development in InformationRetrieval (SIGIR '05), pp. 178-185, 2005.
  6. X. Shen, B. Tan, and C. Zhai, "Implicit User Modeling forPersonalized Search," Proc. ACM Int'l Conf. Information andKnowledge Management (CIKM '05), pp. 824-831, 2005.
  7. F. Liu, C. Yu, and W. Meng, "Personalized Web Search byMapping User Queries to Categories," Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM '02), pp. 558-565, 2002.
  8. K. Sugiyama, K. Hatano, and M. Yoshikawa, "AdaptiveWebSearch Based on User Profile Constructed without Any Effort from Users," Proceedings of 13th Int'l World Wide Web Conference (WWW '04), pp. 675-684, 2004.
  9. L. Chen and K. Sycara, "WebMate: A Personal Agent for Browsing and Searching," Proc. Second Int'l Conf. Autonomous Agents and Multi Agent Systems, pp. 132-139, 1998.
  10. J. Budzik and K. Hammond, "Watson: Anticipating and Contextualizing Information Needs," Proc. 62nd Ann. Meeting Am. Soc. Information Science, 1999.
  11. E. J. Glover, G. W. Flake, S. Lawrence, W. P. Birmingham, A. Kruger, C. L. Giles, and D. M. Pennock, "Improving Category Specific Web Search by Learning Query Modifications," SAINT, pp. 23-34, 2001.
  12. J. Chaffee and S. Gauch, "Personal Ontologies for Web Navigation," Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM '00), pp. 227-234, 2000.
  13. S. Gauch, J. Chaffee, and A. Pretschner, "Ontology-Based Personalized Search and Browsing," Web Intelligence and Agent Systems, vol. 1, no. 3/4, pp. 219-234, 2003.
  14. J. Trajkova and S. Gauch, "Improving Ontology-Based User Profiles," Proc. Recherched'InformationAssistee par Ordinateur (RIAO '04), pp. 380-389, 2004.
  15. M. Speretta and S. Gauch, "Personalized Search Based on User Search Histories," Proc. IEEE/WIC/ACM Int'l Conf. Web Intelligence (WI '05), pp. 622-628, 2005.
  16. B. Tan, X. Shen, and C. Zhai, "Mining Long-Term Search History to Improve Search Accuracy," Proc. 12fth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD '06), pp. 718-723, 2006.
  17. 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 '05), pp. 449-456, 2005.
  18. P. A. Chirita, C. Firan, and W. Nejdl, "Summarizing Local Context to Personalize Global Web Search," Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM), 2006.
  19. J. Pitkow, H. Schutze, 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.
  20. G. Jeh and J. Widom, "Scaling Personalized Web Search," Proc. 12th Int'l World Wide Web Conf. (WWW '03), pp. 271-279, 2003.
  21. P. Ferragina and A. Gulli, "A Personalized Search Engine Based on Web-Snippet Hierarchical Clustering," Special Interest Tracks and Posters of the 14th Int'l Conf. World Wide Web (WWW '05), pp. 801-810, 2005.
  22. J. -T. Sun, H-J. Zeng, H. Liu, Y. Lu, and Z. Chen, "CubeSVD: A Novel Approach to Personalized Web Search," Proc. 14th Int'l World Wide Web Conf. (WWW '05), pp. 382-390, 2005.
  23. A. Broder, "A Taxonomy of Web Search," ACM SIGIR Forum, vol. 36, no. 2, pp. 3-10, 2002.
  24. U. Lee, Z. Liu, and J. Cho, "Automatic Identification of User Goals in Web Search," Proc. 14th Int'l World Wide Web Conf. (WWW '05), pp. 391-400, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Personalization user profile preference network

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