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    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/73053

    題名: Concept-Based Pages Recommendation by Using Cluster Algorithm
    作者: Chi, Chen-Chung;Kuo, Chin-Hwa;Lu, Ming-Yuan;Tsao, Nai-Lung
    貢獻者: 淡江大學學習與教學中心;淡江大學資訊工程學系
    關鍵詞: collaborative filtering;content filtering;recommendation system
    日期: 2008-07
    上傳時間: 2011-10-24 11:26:42 (UTC+8)
    摘要: In this research, we used a proxy server to search for information related to the userpsilas browsed Web pages. From the records of the proxy server we constructed a profile of the userpsilas browsing habits. At the end of the userpsilas search subsystem, we will use content based concept to extract keywords to obtain the articlepsilas characteristicspsila description. From the recommendation system, the Web pages will be classified using the hierarchical grouping method, and through collaborative filtering, the recommendation Web pages will be chosen to provide further readings for students language learning.
    關聯: Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on, pp.298-300
    DOI: 10.1109/ICALT.2008.214
    顯示於類別:[資訊工程學系暨研究所] 會議論文
    [學習與教學中心] 會議論文


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