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站点结构优化方法研究综述 被引量:2

A Survey of Website Structure Optimization
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摘要 简要分析站点结构优化和站点信息组织之间的关系,将站点结构优化方法划分为两类进行综述,并讨论每种方法的优势、不足和进一步研究的方向。 After analysing the relationship between website structure optimization and website information organization, the research progress of website structure optimization is addressed based on two different research aspects, and the advantages, shortages, further study of each aspect are also discussed.
作者 易明 杨斌
出处 《现代图书情报技术》 CSSCI 北大核心 2008年第7期61-65,共5页 New Technology of Library and Information Service
基金 华中师范大学"丹桂计划"项目"基于点击流数据的网络个性化信息服务机理与方法研究"(项目编号:06DG025)的研究成果之一
关键词 站点结构 信息组织 优化 点击流 Website structure Information organization Optimization Click stream
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参考文献28

  • 1Czyzowicz J, Kranakis E, Krizanc D, et al. Enhancing Hyperlink Structure for Improving Web Performance [ J ]. Journal of Web Engineering, 2003(2) : 93 - 127.
  • 2Srikant R, Yang Y. Mining Web Logs to Improve Website Organization [ C ]. In : Proceedings of the Tenth International Conference on World Wide Web, Hong Kong, 2001:430 - 437.
  • 3Nakayama T, Kato H, Yamane Y. Discovering the Gap Between Web Site Designers' Expectations and Users ' Behavior [ C ]. In: Proceedings of the 9th international World Wide Web Conference on Computer Networks, American, 2000:811 - 822.
  • 4Perkowitz M, Etzioni O. Adaptive Web Sites: An AI Challenge [ C]. In:Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence,Tokyo, Japan, 1997 : 16 - 21.
  • 5Perkowitz M, Etzioni O. Adaptive Web Sites: Automatically Synthesizing Web Pages [ J ]. Communications of the ACM, 2000, 43 (8) :152 - 158.
  • 6Perkowitz M, Etzioni O. Adaptive Web Sites: Conceptual Cluster Mining [ C ]. In : Proceedings of the 16th International Joint Conference on AI (IJCAI - 99), Stockholm, Sweden, 1999:264 - 269 .
  • 7Perkowitz M, Etzioni O. Towards Adaptive Website: Conceptual Framework and Case Study [ J ]. Artificial Intelligence, 2000, 118 (122) : 245 -275.
  • 8Coenen F, Swinnen G, Vanhoof K, et al. A Framework for Self- Adaptive Websites: Tactical Versus Strategic Changes [C ]. In: Proc. of Web Mining for E - C tunities Workshop ( WEBKDD' 00), Boston, Challenges and Oppormark, 2000.
  • 9Zhou B Y, Chert J L, Shi J,et al. Website Link Structure Evaluation and Improvement Based on User Visiting Patterns [ C ]. The 12th ACM Conference on Hypertext and Hypermedia, Arhus, Denmark, 2001.
  • 10Cooley R, Tan P N, Srivastava J. Discovery of Interesting Usage Patterns from Web Data[ C ]. In : Web Usage Analysis and User Profiling Workshop ( WEBKDD. 99 ), Berlin : Springer, Verlag, 2000 : 163 - 182.

二级参考文献59

  • 1CAShaffer著 张铭刘晓丹译.数据结构与算法分析(Java版)[M].北京:电子工业出版社,2001..
  • 2石晶 龚震宇.基于WEB挖掘的个性化服务技术[J].计算机科学,2002,(8):168-171.
  • 3Shahabi C,ZarkeshA M,Abidi J,et al.Knowledge Discovery from Users Web-page Naviagtion.In Proc.of the 7th IEEE Intl.Workshop on Research Issues in Data Engineering (RIDE), 1997:20-29.
  • 4Pei J,Han J,Mortazavi-asl B,Zhu H.Mining Access Patterns Efficiently from Web Logs.In Proc.of the 4th Pacific-Asia Conf. on Knowledge Discovery and Data Mining, 2000-04:396-407.
  • 5Chen M S,Park J S,Yu P S.Data Mining for Path Traversal Patterns in a Web Environment.In Proc.of the 16th International Conference on Distributed Computing Systems, 1996-05:385-392.
  • 6Spiliopoulou M,Faulstich L C,Wilkler K.A Data Miner Analyzing the Navigational Behaviour of Web Users.In Proc.of the Workshop on Machine Learning in User Modelling of the ACAI99, Greece, 1999-07.
  • 7Mike Perkowitz, Oren Etzioni. Adaptive Web sites: An AI challenge. IJCAI97, Nagoya, Japan, 1997
  • 8F Coenen, G Swinnen, K Vanhoof, et al. A framework for self adaptive Websites: Tactical versus strategic changes. KDD2000,Boston, 2000
  • 9P Pirolli, S K Card. Information foraging. Psychological Review,1999, 106(4): 643~675
  • 10Ramakrishnan Srikant, Yinghui Yang. Mining Web logs to improve Website organization. The 10th Int'l World Wide Web Conf(WWWl0), Hong Kong, 2001

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