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对信息检索系统应用技术的数学表示模型的分析

The Analysis about the Denotation of Application Technology Math Mode in the Information Search System
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摘要 页面表示、用户兴趣模型、页面链接排序是信息检索系统中的关键技术,分析相应的数学模型,并例举在一个智能搜索引擎中的应用,通过动态的更新用户兴趣模型和由此而引起的WEB页面更新,有效地适应用户兴趣的变化。 Web pape description, user interest profile and web page link compositor are the important components of information search system. Some correlative math mode method is presented in this paper and used in an Intelligent Search Engine. It effectively solves the self - adapting changes of the user's interests.
作者 胡国忠
出处 《长沙航空职业技术学院学报》 2005年第4期46-47,45,共3页 Journal of Changsha Aeronautical Vocational and Technical College
关键词 页面表示 用户兴趣模型 页面链接 智能搜索引擎 web page describe user interest profile web page link intelligent search engine
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  • 1Weise, Bienvenido Veles. HyPursuit: A Hierarchical Network Search Engine that Exploits Conteat-Link Hypertext Clustering[ C]. In Proceeding of the 7th ACM Conference on Hypertext, 1996 (3).
  • 2Cooley R, Mobasher B, Srivastava J. Web Mining: Information and Pattern Discovery on the World Wide Web[C]. In: Proc of the 9th Int'1 Conf. on Tools with Artificial. Intelligence (ICTAI'97). CA, 1997.
  • 3Jason Rennie, Andrew Kachites McCallum. Using Reinforcement Leaming to Spider the Web Efficiendy[J]. Computer Networks, 2000, 33:95 - 103.
  • 4Resnick P,et al. GroupLens: An open architecture for collaborative filtering of netnews. In: Proc. of 1994 Conf. on Computer Supported Collaborative Work, 1994. 175~ 186
  • 5Konstan J A ,et al. GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM, 1997, 40(3) :77~87
  • 6Herlocker J L, et al. An algorithmic framework for performing collaborative filtering. In:Proc. of the 22nd annual intl. ACM SIGIR conf. on Research and development in information retrieval,1999
  • 7Shardanand U, Maes P. Social Information Filtering: Algorithms for Automating Word of Mouth. In:Conf. proc. on Human factors in computing systems (ACM CHI '95), Denver, 1995.210~217
  • 8Hill W,et al. Recommending and Evaluating Choices in a Virtual Community of Use. In:Proc. of ACM CHI'95 Conf. on human factors in computing systems, Denver, 1995. 194~201
  • 9Dahlen B J, et al. Jump-starting movielens: User benefits of starting a collaborative filtering system with "dead data". University of Minnesota:[TR 98-017]. 1998
  • 10Goldberg K,et al. Eigentaste: A Constant Time Collaborative Filtering Algorithm. Information Retrieval Journal . 2000

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