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姓名	吳建興(Jain-Shing Wu)	電子郵件信箱	E-mail 資料不公開
畢業系所	資訊管理學系研究所(Information Management)
畢業學位	碩士(Master)	畢業時期	90學年第2學期
論文名稱(中)	運用基因規劃於網際網路搜尋
論文名稱(英)	Web Search Using Genetic Programming
檔案	etd-0911102-162515.pdf 本電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。 請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。	論文使用權限	電子論文：校內立即公開，校外一年後公開
		論文語文/頁數	英文/37
		統計	本論文已被瀏覽 5637 次，被下載 2707 次
摘要(中)	從網際網路上定位及檢索所需要的資訊是一重要的問題。目前所存在的搜尋引擎給予過多無用且重複的資訊。由於搜尋的架構隨著搜尋引擎的不同而不同，對於所有的主題，要找到一個合適的搜尋機制是非常困難的。在本論文中，我們提出了一套基因規劃網際網路搜尋系統，可以根據使用者的興趣而自動產生查詢句。此系統可以從搜尋引擎上檢索資訊，並將搜尋結果過濾中去掉重複性與無用的資訊，然後結果將以單一的使用者介面呈現給使用者。而實驗的結果使用本系統所得的查詢結果比起由隨機來產生查詢句所得的查詢結果，與使用者興趣的相似度獲得改善。
摘要(英)	To locate and to retrieve the needed information from the Internet is an important issue. Existing search engines may give too much useless and redundancy information. Due to the search feature is different for different search engines, it’s very difficult to find an optimal search scheme for all subjects. In this paper, we propose a genetic programming web search system (GPWS) to generate exact query according to a user’s interests. The system can retrieve the information from the search engines, filter the retrieved results and remove the redundancy and useless results. The filtered results are displayed on a uniform user interface. Compared with the queries generated by randomly, the degree of similarity of results and user’s interests are improved.
關鍵字(中)	基因規劃 資訊檢索 網際網路 網頁搜尋	關鍵字(英)	Web Search Internet Information Retrieval Genetic Programming
論文目次	Contents 1. Introduction                           1 2. Background Materials and Literature Reviews         3 2.1 Background Materials 3 2.1.1 Information Retrieval Technology 4 2.1.2 Genetic Programming 5 2.2 Literature Reviews 6 2.2.1 Web Search Engine 6 2.2.2 Web Search Using Genetic Algorithm 7 3. The Genetic Programming Web Search System Framework 9 3.1 Query Model 10 3.2 Genetic Programming Web Search System Architecture 11 3.2.1 The Web Subsystem 11 3.2.2 The Genetic Programming Subsystem 12 3.3 The Genetic Programming Algorithm 16 3.3.1 Definition of Genetic Programming Algorithm 16 3.3.2 The Genetic Programming Algorithm 18 4. Experimental Results     24 5. Conclusions       34 References 35
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口試委員	柯淑津 - 召集委員 劉東官 - 委員 張玉盈 - 委員 李宗南 - 指導教授
口試日期	2002-07-24	繳交日期	2002-09-11

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