Ontology-based collaborative filtering recommendation algorithm

Zijian Zhang, Lin Gong, Jian Xie

科研成果: 书/报告/会议事项章节会议稿件同行评审

18 引用 (Scopus)

摘要

E-learning system for knowledge points recommended primarily uses traditional collaborative filtering algorithm. Similarity calculation of knowledge points is often based on user rating above the intersection of knowledge points. The different semantic relations between knowledge points are not well considered, which results in the low recommended accuracy. This paper proposed an Ontology-based collaborative filtering recommendation algorithm, which could help users find the nearest neighbors even if the scores of knowledge points are little or zero. Through experiment, this algorithm was compared to traditional collaborative filtering recommendation algorithms. The new method achieved a better recommendation.

源语言英语
主期刊名Advances in Brain Inspired Cognitive Systems - 6th International Conference, BICS 2013, Proceedings
172-181
页数10
DOI
出版状态已出版 - 2013
活动6th International Conference on Brain Inspired Cognitive Systems, BICS 2013 - Beijing, 中国
期限: 9 6月 201311 6月 2013

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7888 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议6th International Conference on Brain Inspired Cognitive Systems, BICS 2013
国家/地区中国
Beijing
时期9/06/1311/06/13

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