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Personalized Search based on Community through Automatic Analysis of Query Patterns  

Park, Gun-Woo (국방대학교 국방관리대학원 전산정보학과)
Lee, Sang-Hoon (국방대학교 국방관리대학원 전산정보학과)
Publication Information
Journal of KIISE:Databases / v.36, no.4, 2009 , pp. 321-326 More about this Journal
Abstract
Since the existing Web search engines don't sufficiently reflect user's search intent, it is very difficult to find out accurate information that users want to find. Therefore, a lot of researches, study for personalized search, to enhance satisfaction of Web search results by analyzing search pattern and applying it to search are in progress in these days. Web searchers can more efficiently find information and easily obtain appropriate information through the personalized search. In this paper, we propose the personalized search based on community through the analysis of web users' query patterns and interest. Consequently, when applying query frequency, interest and community to web search, we are able to the confirm that the search results which hit to the search intent of the individual are provided.
Keywords
Personalized Search; Search Intent; Interest; Query Frequency; Community;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 J. Lee, S. Cheon, "A Personalized Search based on Query Expansion," Proc. of the KIISE 2008, vol.35, no.2(C), pp.203-208, Oct, 2008. (in Korean)
2 Cantador, I., Castells, P. 'Extracting Multilayered Semantic Communities of Interest from Ontology-based User Profiles: Application to Group Modelling and Hybrid Recommendations. Computers in Human Behavior,' Elsevier, Special issue on Advances of Knowledge Management and the Semantic Web for Social Networks, 2008
3 Craswell, N., Hawking, D. and Robertson, S., 'Effective Site Finding using Link Anchor Information,' In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, LA, pp.250-257, 2001   DOI
4 S. Lee, Y. Chung, 'Design and Evaluation of a Personalized Search Service Model Based on Web Portal User Activities,' Journal of KOSIM, vol.23, no.4, pp.179-196, Dec. 2006. (in Korean)   과학기술학회마을   DOI   ScienceOn
5 Croft, W.E., 'Combining Approaches to Information Retreval : Recent Research from the Center for Intelligent Information Retrieval,' Kluwer Academin Publishers, pp.1-36, 2000
6 Yang, K., 'Combining Text and Link-Based Retrieval Methods for Web IR,' In Text Retrieval Corference(TREC-10), Gaithersburg, Maryland, pp.609-618, 2001
7 Barry Smyth, 'A Community-Based Approach to Personalizing Web Search,' IEEE COMPUTER SOCIETY, vol.40, Issue.8, pp.42-50, Aug. 2007   DOI   ScienceOn
8 Brin, S. and Page, L., 'The Anatomy of a Largescale Hypertextual Web Search Egine,' Computer Nettworks and ISDN Systems, vol.30, no.1-7, pp.107-117, 1998   DOI   ScienceOn
9 Alessandro Micarelli, Fabio Gasparetti, Filippo Sciarrone, Susan Gauch, 'Personalized Search on the World Wide Web,' LNCS, pp. 195-230, vol.4321, 2007