A General Conceptual Model of Recommendation Based on Multi-Agent Approach

DOI

10.2991/aiie-16.2016.4How to use a DOI?

Keywords

multi-agent recommendation; RSs; GMMR

Abstract

In recent years, recommendation is becoming more and more popular in many fields. However, there are still some problems, such as single point failure, lack of ability to support different devices and etc. To solve these problems, researches have been carried out using multi-agent approach but some new problems occur. In this paper, we draw an overview of the multi-agent recommendation systems according to the recent study in this field. Through our investigation, we summarize the challenges that multi-agent recommendation systems face and come up with a general conceptual model called GMMR. To some extent, our work may give researchers a comprehensive understanding of the significance of multi-agent recommendation systems and provide a useful model for developers.

Copyright

© 2016, 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  - Xunhui Zhang
AU  - Tao Wang
AU  - Gang Yin
AU  - Xinjun Mao
AU  - Huaimin Wang
PY  - 2016/11
DA  - 2016/11
TI  - A General Conceptual Model of Recommendation Based on Multi-Agent Approach
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 15
EP  - 19
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.4
DO  - 10.2991/aiie-16.2016.4
ID  - Zhang2016/11
ER  -