文章基本信息

标题：Collabo-eNOTE: A Hybrid Recommender System for Group Learning Support
作者：Xin Wan ; Fumihiko Anma ; Toshie Ninomiya 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：9
页码：166-171
出版社：International Journal of Computer Science and Network Security
摘要：We report on the development of a WEB based intelligent e-NOTEBOOK system that provides��an environment for group learning. That is, the system may recommend the useful notes automatically based on the item-to-item collaborative filtering and content-based filtering by using learners�� reading histories and the contents of notes, which should improve the efficiency of the group learning. The performance of the proposed approach is compared with traditional collaborative filtering. Experimental results demonstrate that our approach is more effective and efficient to group learning.
关键词：Collaborative Filtering; Content-based filtering; Hybrid filtering; Intelligent System; Collaborative learning.