Tác giả :
Đặng Thế Khoa, Nguyễn An Tế – ĐH Khoa học tự nhiên


Nowadays, personalized systems are increasingly applied in diverse fields including e-Learning. In general, Intelligent Tutoring Systems build learners’ profiles in order to give them adaptive access to information and other learning resources. Recently, some researchers propose using Collaborative Filtering as an alternative approach for person-alizing information access in Intelligent Tutoring Systems. With this technique, a user receives recommendations on the basis of the evaluation of his/her community.

In this paper, we present a new approach of multi-criteria communities for Collaborative Filtering in Intelligent Tutoring Systems in which criteria can be extracted from features/characteristics in learner profiles.


Intelligent Tutoring Systems, User Profile, Collaborative Filtering, and Rule-based In-duction

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