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Student Number 90433001
Author Huei-Jen Wu.(吳慧貞)
Author's Email Address No Public.
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Department Executive Master of Information Management
Year 2002
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title A Comparison of the Effects of Different Information-Retrieving Strategies
Date of Defense 2003-06-05
Page Count 47
Keyword
  • document segmentation
  • genetic algorithm
  • information retrieval
  • relevance feedback
  • user profile
  • Abstract This research aims to construct an intelligent agent to assist information retrieving on WWW. Then compare its effect with the other two information-retrieving strategies. Our intelligent agent requires the user to feed interested documents first to generate a user profile, then applies genetic algorithm to filter out the adequate query keywords string, and finally uses the user selected part of the retrieved documents as the relevance feedback to refine the user profile. Several experiments have been conducted. The results show that our strategy for information retrieving is better than the other two strategies.
    Table of Content 第一章 緒論1
    1.1 研究背景與動機1
    1.2 研究目的2
    1.3 研究範圍與限制3
    1.4 研究流程3
    1.5 論文架構5
    第二章 文獻探討6
    2.1 資訊檢索6
    2.1.1 向量空間模式(vector space model)9
    2.1.2 基因演算法(Genetic Algorithm, GA)11
    2.1.3 調整專有名詞權重:TFIDF法14
    2.1.4 建立使用者興趣檔(user profile)14
    2.2 檢索策略15
    2.3 檢索系統的評估測量值16
    2.4 智慧型資訊檢索代理程式18
    第三章 系統設計19
    3.1 研究構想19
    3.2 系統架構19
    3.2.1 軟硬體架構20
    3.2.2 系統模組22
    3.2.3 系統輸出入畫面25
    第四章 實驗結果26
    4.1實驗設計與進行26
    4.1.1 實驗項目26
    4.1.2 參與實驗者背景說明28
    4.1.3 實驗中所提及的簡述參數28
    4.1.4 實驗統計量28
    4.2 實驗結果與分析29
    4.2.1先導實驗:興趣檔中萃取出的候選關鍵字數量29
    4.2.2實驗一:檢索精確度比較30
    4.2.3實驗二:知識領域種類32
    4.2.4實驗三:實驗進行的相關回饋回合數不同35
    第五章 結論37
    5.1 研究結論37
    5.2 研究貢獻37
    5.3 未來研究方向38
    參考文獻39
    中文部分39
    英文部分39
    網站部分41
    附錄42
    附錄一 Stop list of words[Rijsbergen 1975]42
    附錄二 實驗中輸入之樣本文件43
    附錄三 詞頻檔(由附錄二之樣本文件轉換而成)45
    附錄四 候選關鍵字詞(由附錄三之詞頻檔篩選出之結果)47
    Reference 中文部分
    [張永霖 2002] 張永霖,「使用基因演算法與相關回饋於協助網頁搜尋」,國立中 央大學資訊管理研究所碩士論文,2002。
    英文部分
    [Allen 1991]Allen, N.,“Cognitive research in information science: implication for design”, Annual Review of Information Science and Technology, vol. 26, 1999.
    [Bernard et al. 2000] Bernard, J., Spink, A. & Saracevic, T.,“Real Life, Real Users, and Real Needs: A Study and Analysis of User Queries on the Web”, Information Processing and Management, vol. 36, no. 2, pp.207-227, 2000.
    [Chen 1995] Chen, H.,“Machine Learning for Information Retrieval:Neural Networks, Symbolic Learning and Genetic Algorithms”, Journal of the American Society for Information Science, vol. 46, pp.194-216, 1995.
    [Chou et al. 2003]Chou, S.C. & Chang, Y.L.,“AN INTELLIGENT AGENT FOR INFORMATION RETRIEVAL ON WWW”, WDSI 2003 Proceedings, Western Decision Science Institute 2003 Annual Meeting, Island of Kauai, Hawaii, U.S.A., Apr. 15-20, 2003.
    [Coutaz 1991] Coutaz, J., “Interfaces Homme-Machine:un regard critique”, TSI Techniques et Sciences Informatiques, vol. 10, no. 1, 1991.
    [Finnegan et al. 1996] Finnegan, D.E. & Zelda, F.G., “Disciplinary Adaptation to Research Culture in Comprehensive Institutions”, Review of fighter Education , vol. 19, pp.141-177, 1996.
    [Harter 1986] Harter, S.P. , “Online Information Retrieval:Concepts, Principles, and Techniques”, Academic Press, New York, pp.171-176, 1986.
    [Leak et al. 1997] Leake, D., Kinley, A. & Wilson, D. , “A case study of case based CBR”, Proceedings of the Second International Conference on Case-Based Reasoning, Springer Verlag, Berlin, pp.12, 1997.
    [Man et al. 1996] Man, K.F., Tang, K.S., & Kwong, S., “Genetic Algorithms : Concepts and Applications”, IEEE Transactions on Industrial Electronic, vol. 43, no. 5, pp.519-533, 1996.
    [Meadow et al. 2000] Meadow, C.T., Boyce, B.T.R. & Kraft, D.H., “Text Information Retrieval Systems”, Academic Press, U.S.A., pp.203, 2003.
    [Palmer 1987] Palmer, R.C., “Online Reference and Information Retrieval”, Littleton, pp.74-82, 1987.
    [Prasad Kantamneni et al. 2001] Prasad Kantamneni, R.G. & Narayanan, S, “Personalization of information retrieval through user profiling”, IEEE International Conference on , vol. 5, pp.3475-3478, 2001.
    [Ricardo et al. 1999] Ricardo, B.Y. & Berthier, R.N., “Modern Information Retrieval”, Addison-Wesley, U.S.A., 1999.
    [Rijsbergen 1975] Rijsbergen, C. J., “Information Retrieval”, Butterworth, 1975.
    [Robertson 1969] Robertson, S.E.,“The parametric description of retrieval tests”, Journal of Documentation, vol. 25, no. 1, pp.3, 1969.
    [Salton et al. 1983]Salton, G. & McGill, M.J., “Introduction to Modern Information Retrieval”, McGraw-Hill, U.S.A., 1993.
    [Salton et al. 1968] Salton,G. & Buckley , C., “Parallel Text Search Methods”, communications of the ACM, vol.31, no. 2, pp. 202-215, 1988.
    [Scott 1990] Scott, A., “An Introduction to Genetic Algorithms”, AI Expert, vol. 4, no. 3, pp. 49-53, 1990.
    [Smith et al. 1998] Smith, M.H. , Rubin, S. & Trajkovic, L.,“Fuzzy data mining for querying and retrieval of research archival information”, Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American , pp.140 -145, 1998.
    [Sriniva 1994] Srinivas,M. & Patnaik, L.M., “Genetic Algorithms: A Survey“, IEEE Computer, pp.17-26, 1994.
    [Woo et al. 1999] Woo, S.M, Yoo, C.S. & Kim, Y.S., “User-centered filtering and document ranking”, Proceedings of the IEEE Region 10 Conference, vol. 2, pp.1059-1062, 1999.
    [Zacharis et al. 2001] Zacharis, Z.N. & Themis, P.,“Web Search Using a Genetic Algorithm”, IEEE Internet Computing, vol. 5, no. 2, pp.18-26, 2001.
    網站部分
    [GNU] GNU’s Not Unix!, http://www.gnu.org/.
    Advisor
  • Shih-Chieh Chou.(周世傑)
  • Files
  • 90433001.pdf
  • disapprove authorization
    Date of Submission 2003-06-23

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