Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Content Filtering Based on Keyword Map

Authors
Xin Wan, Neil Rubens, Toshio Okamoto, Yan Feng
Corresponding Author
Xin Wan
Available Online June 2015.
DOI
https://doi.org/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..
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.164How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2015 2nd 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  - https://doi.org/10.2991/icecee-15.2015.164
ID  - Wan2015/06
ER  -