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A Sorting Method of Meta-search Based on User Web Page Interactive Model |
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作者:Zongli Jiang1, Tengyu Zhang1 |
來源:本站原創 |
更新時間:2012/8/2 10:35:00 |
正文: |
1College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China Keywords: User Web Page Interactive, Result Sorting, Meta search. Abstract. Nowadays, there is a problem in most meta-search engines that many web pages searched have nothing to do with users’ expectations. We introduce a new user web page interactive model under the framework of meta search, which analyzes users’ action to get users’ interests and storages them, and update these information with users’ feedback. Meanwhile this model analyzes user records stored in web, attaches labels to the web page with statistics of user interest. We calculate the similarity about user and web page with the information from model and add similarity to scores of web pages. The experimental results reveal that this method can improve the relevance of the information retrieval.
References [1] Antonio Gulli, Alessio Signorini. The Indexable Web is more than 11.5 billion pages. Special interest tracks and posters of the 14th international conference on World Wide Web, Chiba, Japan, 2005 [2] Callan, J.P.,Lu,Z.,Croft,W.B. Searching distributed collections with inference networks, In: Fox,E.A.,Ingwersen,P.,Fidel, R., eds. Proceedings of the 18th International Conference on Research and Development in Information Retrieval. ACM Press, 1995:21~28 [3] Kirsch,S.T. Document retrieval over networks where in ranking and relevance scores are computed at the client for multiple database documents. United States Patent#5,659,732,1997:24~26 [4] Selberg,E.W. Towards comprehensive web search[D].University of Washington,1999:90~96 [5] G.Salton and M.E.Lesk Computer evaluation of indexing and text processing.Journal of the ACM,15(1):8-36,January 1968 [6] Keyhanipour A H,Moshiri B,Piroozmand M, et al. WebFusion: fundamentals and principals of a novel meta search engine[C]//Proceedings of the 2006 International Joint Conference on Neural Networks. Vancouver: IEEE Press,2006:4126-4131.
作者簡介: 蔣宗禮:男,1956年出生,北京工業大學博士生導師,從事網絡計算、操作系統、人工神經網絡和計算機科學與技術學科的教育教學等研究,發表了大量研究論文。 張騰宇:男,1986年生,北京工業大學計算機學院碩士研究生,主要研究方向為搜索引擎相關技術。
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