Overview Of Context-aware Recommender System Research
Authors
Haohan Liu, Hongli Zhang, Kanghua Hui, Huaiqing He
Corresponding Author
Haohan Liu
Available Online April 2015.
- DOI
- https://doi.org/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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 3rd International Conference on Mechatronics, Robotics and Automation PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmra-15.2015.235 DO - https://doi.org/10.2991/icmra-15.2015.235 ID - Liu2015/04 ER -