Development of a self-adaptive Web search engine

As the Web evolves towards the direction of providing more and more information, locating the desired information efficiently becomes a very important issue. Web search engines are very useful information search tools in the Internet. Current Web search engines produce search results relating to the search terms and the actual information collected by them. Since the selections of the search results cannot affect the future ones, they may not cover most people's interests. Feedback information produced by users' accessing lists can influence the search results. Thus the search engines can provide self-adaptability.

[1]  Zhang Wei RESEARCH ON FRAMEWORK SUPPORTING WEB SEARCH ENGINE , 2000 .

[2]  Jaideep Srivastava,et al.  Data Preparation for Mining World Wide Web Browsing Patterns , 1999, Knowledge and Information Systems.

[3]  Wang Ji THE TECHNOLOGY IMPLEMENTATION OF INFORMATION MINING ON WWW , 1999 .

[4]  Michael R. Genesereth,et al.  Software agents , 1994, CACM.

[5]  Zhang Weifen Web Page Techniques for Interacting Between Elements , 2000 .

[6]  Baowen Xu,et al.  Application of data mining in Web pre-fetching , 2000, Proceedings International Symposium on Multimedia Software Engineering.

[7]  Jaideep Srivastava,et al.  Creating adaptive Web sites through usage-based clustering of URLs , 1999, Proceedings 1999 Workshop on Knowledge and Data Engineering Exchange (KDEX'99) (Cat. No.PR00453).

[8]  Baowen Xu,et al.  Data mining algorithms for web pre-fetching , 2000, Proceedings of the First International Conference on Web Information Systems Engineering.

[9]  Dik Lun Lee,et al.  WISE: A World Wide Web Resource Database System , 1996, IEEE Trans. Knowl. Data Eng..

[10]  Michael R. Levy Web programming in guide , 1998 .