A Study on Weighting Metasearch Engine and Detecting Web Pages

• Main Authors: Hsin-yen Lin, 林欣彥
• Other Authors: Rung-ching Chen
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/qq44xa

碩士 === 朝陽科技大學 === 資訊管理系碩士班 === 91 === The information on the Internet grows fast. Many people surf on the Internet with single search engine, such as Google, Openfind, and so on. But when users really search their requirement information, they usually need two or more search engines to find out their information. We can’t know the searching results from these search engines whether they meet requirement or not and the searching results are the alive linking now. In this thesis, we propose a idea for the weighting metasearch engine and detecting web pages. First, users enter searching keywords and select the query combination and the weight of their search engines. The information retrieval module will adjust the format of these queries and dispatch it to the search engine selector to start the task of the searching. Next, metasearch engine will return the results from heterogonous search engines and the information filtering module will filter these repeated web pages. Finally, the information integration module will resort the orders of the results and the information detecting module will also perform detecting the web page. The system incorporates the searching results from the selected search engines and considerates the user’s favor extent for their selected search engines. Thus, this can enhance the precision and efficacy to really meet user’s information requirement and quickly know the alive linking of these searching results. Through the processing, the user can procure the task of the searching data effectively.