簡易檢索 / 詳目顯示

研究生: 邱迪凱
Chiu, Ti-Kai
論文名稱: 結合查詢擴展之學習元件個人化推薦系統
Personalized Recommendation with Query Expansion for SCORM Compliant Learning Objects
指導教授: 王宗一
Wang, Tzone-I
學位類別: 碩士
Master
系所名稱: 工學院 - 工程科學系
Department of Engineering Science
論文出版年: 2006
畢業學年度: 94
語文別: 中文
論文頁數: 79
中文關鍵詞: 數位學習推薦系統查詢擴展
外文關鍵詞: e-Learning, recommender system, query expansion
相關次數: 點閱:101下載:1
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 隨著網路的蓬勃發展,網路上互動式遠距教學的數位學習也成為未來學習的新趨勢。在數位學習中,數位課程是數位學習的核心之一,而數位課程是由多個學習單元或學習元件所組成,目前建構數位課程的主流規範為SCORM(Sharable Course Object Reference Model)。在不久的將來,大量相容於SCORM標準的學習元件將會存放在學習元件儲藏庫(Learning Object Repository),學習者將可輕易地在學習元件儲藏庫找到學習物件使用。
    因此當學習者在面對如此大量的學習元件時將會不易於輸入符合本身意向的查詢語句或選擇適當、符合個人喜好的學習元件使用。所以本論文提出一結合查詢擴展之學習元件個人化推薦系統,提高學習者查詢語句的查準率(Precision)和加強學習者的學習效果,此機制利用學習者偏好及鄰居興趣的觀點推薦合適的學習元件讓學習者學習。

    With vigorous development of Internet, especially the web page interaction technology, distant e-learning has become more and more realistic and popular. A Digital course may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen in the near future a vast amount of SCORM-compliant learning objects will be published and distributed cross many learning object repositories. Learners will more easily find learning objects they need in learning object repositories.
    Currently, most of the learning objects retrieval systems just provide keyword-based search results with no personalized ranking. In the future facing the huge volume of learning objects, learners could probably be lost in searching, selecting suitable and favorite learning objects.
    This thesis proposes an ontology-based query expansion mechanism to expand, according to his inferred intension, a learner’s query before submitting it for fetching learning objects and a personalized ranking mechanism to sort SCORM-compliant learning objects retrieved from a repository. The personalized ranking mechanism uses both a preference-based and a neighbor-interest-based approach in ranking the degree of relevance of learning objects retrieved to a user’s intension. If embedded with the mechanisms, a tutoring system will be able to provide easily and efficiently for active learners more suitable learning objects.

    第一章 緒論 1 1.1研究動機與目的 1 1.2研究成果與貢獻 3 1.3章節介紹 3 第二章 文獻回顧 5 2.1辭書 5 2.2查詢擴展 7 2.3 E-LEARNING 8 2.3.1 SCORM(Sharable Content Object Reference Model) 10 2.3.2 學習元件後設資料(Learning Object Metadata,LOM) 13 2.4推薦系統(RECOMMENDER SYSTEM) 15 2.4.1推薦系統的定義 15 2.4.2推薦系統之相關研究 15 第三章 系統架構 22 3.1架構 22 3.2推薦流程 26 3.3名詞定義 27 3.4查詢語句推論與擴展 29 3.5 推薦系統 37 3.5.1學習者偏好分數之計算 37 3.5.2學習者鄰居之興趣分數計算 42 3.5.3學習元件推薦策略 47 第四章 系統實作與功能展示 49 4.1系統功能展現 51 第五章 實驗結果 62 第六章 結論與未來展望 69 6.1 結論 69 6.2 未來展望 69 參考文獻 70 附 錄 一 74 自述 79

    [1] A. F. Smeaton and C. J. van Rijsbergen, “The retrieval effects of query expansion on a feedback document retrieval system”, The Computer Journal, Vol. 26, No. 3, pp. 239–246, 1993.
    [2] ADL Technical Team, SCORM 2004 2nd Documentation, http://www.adlnet.gov/scorm
    [3] Advanced Distributed Learning, http://www.adlnet.gov/index.cfm
    [4] Amazon, http://www.amazon.com
    [5] ARIADNE, http://www.ariadne-eu.org
    [6] E. Rich, “User Modeling via Stereotypes”, Cognitive Science, Vol. 3, No. 4, pp. 329-354, 1979.
    [7] F. Neven and E. Duval, “Reusable Learning Objects: a Survey of LOM-Based Repositories”, Proceedings of the tenth ACM international conference on Multimedia, Juan-les-Pins, France, pp. 291-294, December 1-6, 2002.
    [8] G. Adomavicius and A. Tuzhilin, “Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions”, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Issue 6, pp. 734-749, 2005.
    [9] G. Salton, “Automatic Text Processing”, Addison-Wesley, 1989.
    [10] Google, http://www.google.com.tw
    [11] Google 搜尋說明,http://www.google.com.tw/help/interpret.html
    [12] H. J. Peat and P. Willett, “The limitations of term co-occurrence data for query expansion in document retrieval systems”, Journal of the American Society for Information Science, Vol. 42, No. 5, pp.378–383, 1991.
    [13] IEEE LOM Draft, http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf
    [14] iLumina, http://www.ilumina-dlib.org
    [15] J. S. Armstrong, “Prinicples of Forecasting-- A Hangbook for Researchers and Practiononers”, Kluwer Academic, 2001.
    [16] M. C. Lee, T. K. Chiu, K. H. Tsai, and T. I Wang, “An Ontological Approach for Semantic-Aware Learning Object Retrieval”, The 6th IEEE International Conference on Advanced Learning Technologies, Kerkrade, The Netherlands, July 5-7, 2006.
    [17] M. C. Lee, D. Y. Ye, and T. I Wang, “Java Learning Object Ontology”, The 5th IEEE International Conference on Advanced Learning Technologies, Kaohsiung, Taiwan, pp. 538-542, July 5-8, 2005.
    [18] M. F. Porter, “An algorithm for suffix stripping”, Program, Vol. 14, No. 3, pp. 130−137, 1980.
    [19] MERLOT, http://www.merlot.org
    [20] MovieLens, http://movielens.umn.edu
    [21] MySql, http://www.mysql.com
    [22] MySQL 3.23, 4.0, 4.1 Reference Manual : Boolean Full-Text Searches, http://dev.mysql.com/doc/refman/4.1/en/fulltext-boolean.html
    [23] OWL Web Ontology Language Overview, http://www.w3.org/TR/2004/REC-owl-features-20040210
    [24] P. Resnick, N. Iakovou, M. Sushak, P. Bergstrom, and J. Riedl, “GroupLens: An Open Architecture for Collaborative Filtering of Netnews”, Proceedings of ACM Conference on Computer Supported Cooperative Work, Chapel Hill, North Carolina, United States, pp. 175-186, October 22-26, 1994.
    [25] SMETE, http://www.smete.org/smete/public/about_smete/activities/technology/recommender/shuang-jcise2002.pdf
    [26] T. R. Gruber, “A translation approach to portable ontologies”, Knowledge Acquisition, Vol. 5, No. 2, pp. 199-220, 1993.
    [27] W. A. Woods, “Conceptual indexing: a better way to organize knowledge”, Technical report of Sun Microsystems”, April, 1999.
    [28] 石旭原,以SCORM為知識本體應用基模之網路學習系統實作案例研究,逢甲大學資訊工程所碩士論文,2002。
    [29] 陳光華,莊雅蓁,“資訊檢索之中文詞彙擴展”,資訊傳播與圖書館學8卷1期,59~75頁,2001年9月。
    [30] 經濟部工業局-數位學習產業推動與發展計畫, http://www.elearn.org.tw/eLearn
    [31] 數位學習國家型科技計畫,http://elnpweb.ncu.edu.tw/index.htm

    下載圖示 校內:2007-08-25公開
    校外:2007-08-25公開
    QR CODE