Overview Of Context-aware Recommender System Research

DOI

10.2991/icmra-15.2015.235How to use a DOI?

Keywords

personalized recommendation; collaborative filtering; content-based recommendation; network-based architecture recommendatio; context-aware recommendation.

Abstract

The traditional recommendation system usually ignored the contextual information. However, there are usually various factors influencing user’s decision. Therefore, the incorporation of contextual information in the recommendation process has attracted major interest. In this paper, firstly, the classical collaborative filtering, content-based, network-based architecture and hybrid recommender system research since 2008 are described. Secondly, the research in context-aware recommender system are mainly described, then its characteristics and limitations are analyzed. Finally, the problems and challenges of context-aware recommender system are summarized, and some improved methods and possible future research directions are put forward.

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  - Haohan Liu
AU  - Hongli Zhang
AU  - Kanghua Hui
AU  - Huaiqing He
PY  - 2015/04
DA  - 2015/04
TI  - Overview Of Context-aware Recommender System Research
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 1218
EP  - 1221
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.235
DO  - 10.2991/icmra-15.2015.235
ID  - Liu2015/04
ER  -