Content Filtering Based on Keyword Map
Xin Wan, Neil Rubens, Toshio Okamoto, Yan Feng · Advances in computer science research · 2015
This paper presents the content filtering based on keyword map.Keyword maps represent knowledge of learner by capturing relations between terms that the learner has been exposed to.Keyword maps allow increasing both the relevance and complement of learning resources recommendation.The experimental results show that the proposed method is better suited for e-learning settings our method, and achieves a higher accuracy than common recommendation methods such as collaborative and keyword based approaches.