SRS: A Subject Recommender System to Enhance E-learning Personalisation
Jie Lü, Xiaolei Guo, Anh T. Huynh, L. Benkovich · UTS ePRESS (University of Technology Sydney) · 2004
E-Iearning personalization focuses on how to response individual learner's interests and needs in an e-Iearning environment.Recommender system technique can effectively implement elearning personalization.This study develops a subject recommender system (SRS) aimed to locate right subject information to right students according to their individual interests and needs in subject selection.With a technical advance, the system integrates content-based filtering approach, collaborative filtering approach and web usage analysis technique.