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Collabo-eNOTE: A Hybrid Recommender System for Group Learning Support


Xin Wan, Fumihiko Anma, Toshie Ninomiya, Toshio Okamoto


Vol. 8  No. 9  pp. 166-171


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.


Collaborative Filtering, Content-based filtering, Hybrid filtering, Intelligent System, Collaborative learning.