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An intelligent approach to mining the related websites

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3 Author(s)
Yo-Ping Huang ; Dept. of Comput. Sci. & Eng., Tatung Univ., Taipei, Taiwan ; Yen-Chun Lee ; Kent Lin

We propose an intelligent meta-search engine that bases on user's query keyword(s) to find the more related websites in this paper. Instead of listing a lot of candidate websites waiting for users to search, our approach automatically pops up only the most related document for the user to read. The most related document appeared in the dialogue window is derived from the proposed method. User's satisfaction of the search result gives a feedback to our system for further improvement of the designed model. In case the user is not satisfied with the recommended document, we also have the options for user to choose. The options are listed in descending relations to the query keyword(s). We will present the architecture of designed model and illustrate how the proposed system works in finding the desired websites

Published in:

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th  (Volume:1 )

Date of Conference:

25-28 July 2001