The Design of Intelligent Meta Search Engine

碩士 === 大同大學 === 資訊工程研究所 === 90 === In the thesis, we propose an intelligent meta-search engine that bases on user’s query keyword(s) to find the extended keywords and more related websites. Instead of listing a lot of candidate websites waiting for users to search, our approach automatically pops up...

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Bibliographic Details
Main Authors: Yen-Chun Lee, 李彥醇
Other Authors: Yo-Ping Huang
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/70767409421123873655
Description
Summary:碩士 === 大同大學 === 資訊工程研究所 === 90 === In the thesis, we propose an intelligent meta-search engine that bases on user’s query keyword(s) to find the extended keywords and more related websites. Instead of listing a lot of candidate websites waiting for users to search, our approach automatically pops up only the more related documents for the users to read. The extended related keywords and more related documents appeared in the explorer window are derived from the proposed method. In case a user is not satisfied with the search results, he/she has the options of picking the advised related keywords generated by our system without knowing any background knowledge of the original keyword. User’s interaction of the search results gives a feedback to our system for further improvement of the designed model. Most of current search portals do not support cluster function between the retrieved websites, but our system can create the websites’ groups easily. We will present the architecture of designed model and illustrate how the proposed system works in finding the desired websites.