Result integration in a meta Web search engine

A meta Web search engine first sends a user's search requests to its referenced search engines. The results returned by these search engines are then integrated by one result-integrating algorithm and returned to the user. Query precision, completeness and response speed are directly affected by the choice of result integration algorithm. By analyzing common result-integrating algorithms, this paper recommends several unproved algorithms to improve the coherence of search results.

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

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

[3]  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).

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

[5]  King-Lup Liu,et al.  Detection of heterogeneities in a multiple text database environment , 1999, Proceedings Fourth IFCIS International Conference on Cooperative Information Systems. CoopIS 99 (Cat. No.PR00384).

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

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

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

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