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New Technology of Library and Information Service  2001, Vol. 17 Issue (1): 37-40    DOI: 10.11925/infotech.1003-3513.2001.01.09
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A Analyse and Study on Information Retrieval in Internet
Song Ling1   Ma Jun2
1(Library of Jinan School of Petrochemical and Economy, Jinan)
2(Department of Computer Science, Shandong University, Jinan)
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Abstract  

This paper gives a survey on the methods and problems of information retrieval in Internet,and analyses and comparability of various information retrieval technique is shown. After introducing the applications of machine learning, intelligent agent, information filtering techniques for internet information retrieval, a neural networks Hopfield model and algorithm in search broaden or sharpen is given. Its aim is improving the performance of online information retrieval.

Key wordsInformation retrieval      Machine learning      Intelligent agents      Information filtering     
Received: 28 May 2000      Published: 25 February 2001
ZTFLH: 

G354.2

 
Corresponding Authors: Song Ling,Ma Jun   
About author:: Song Ling,Ma Jun

Cite this article:

Song Ling,Ma Jun. A Analyse and Study on Information Retrieval in Internet. New Technology of Library and Information Service, 2001, 17(1): 37-40.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2001.01.09     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2001/V17/I1/37

1 储荷婷 张晓林 王芳.Internet网络信息检索-原理、工具、技巧.清华大学出版社,1999.14
2 Kjersti Aas.A Survey on Personalised Information Filtering Systems for the World Wide Web.Norwegian Computing Center,N-0314Oslo,Norway,1997,12 http://agents.umbc.edu
3 汪晓岩 胡庆生 李斌 庄镇泉.面向Internet的个性化智能信息检索.计算机研究与发展,1999.36(9):1040
4 Hsinchun Chen.Machine Leraring for Information Retrieval:
Neural Networks,Symbolic Learning,and Genetic Algorithms.http://www.cs.jhu.edu/~weiss/paters.html
5 刘宝碇 赵瑞清1随机规划与模糊规划1清华大学出版社,1998.16~26
6 Hsichun Chen,Yi-Ming Chung,Marshall Ramsey,Christopher C.Yang.A Smart Itsy Spider for the Web.http://ai.bpa.arizona.edu/~mramsey/papers/itsy/nodel.html
7 James Jansen.Using an Intelligent Agent To Enhance Search Enginge Performance.http://www.firstmonday.dk/issues/issue_3/jansen/index.html
8 Donna S.Haverkamp,Susan Gauch,Intelligent Information Agents:Review and Challenges for Distributed Information Sources.
9 Intelligent Agents for Information Retrieval and Integration.
http://www.ida.liu.se/labs/iislab/courses/Agents/paper/section54.html
10蔡自兴 徐光佑 人工智能及其应用1清华大学出版社,1996
11H.Chen,P.Hsu,R.Orwig L.,Hoopes,J.F.Nunamaker,Automatic concept classification of text from electronic meetings,http://ai.bpa.arizona.edu/papers/ebs92/ebs92.html
12H.Chen,Joanne Martinez,Tobun D.NG,Bruce R.Schatz,A concepts pace approach to addressing the vocabulary problem in scientific informationret rieval:an experiment on the worm community system ,http://ai.bpa.arizona.edu/papers/wcs96.html

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