Content Filtering Based on Keyword Map

DOI

10.2991/icecee-15.2015.164How to use a DOI?

Keywords

user profiling; keyword map; recommender system; group learning

Abstract

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..

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xin Wan
AU  - Neil Rubens
AU  - Toshio Okamoto
AU  - Yan Feng
PY  - 2015/06
DA  - 2015/06
TI  - Content Filtering Based on Keyword Map
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 851
EP  - 856
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.164
DO  - 10.2991/icecee-15.2015.164
ID  - Wan2015/06
ER  -