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

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 multiagent 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. Keywords-multi-agent recommendation; RSs; GMMR

[1]  Francisco J. García-Peñalvo,et al.  Learner Course Recommendation in e-Learning Based on Swarm Intelligence , 2008, J. Univers. Comput. Sci..

[2]  Enrico Blanzieri,et al.  Implicit: a multi-agent recommendation system for web search , 2010, Autonomous Agents and Multi-Agent Systems.

[3]  Alexander Felfernig,et al.  Basic Approaches in Recommendation Systems , 2014, Recommendation Systems in Software Engineering.

[4]  Greg Linden,et al.  Amazon . com Recommendations Item-to-Item Collaborative Filtering , 2001 .

[5]  Jeffrey M. Bradshaw,et al.  KAoS: toward an industrial-strength open agent architecture , 1997 .

[6]  Chaomei Chen,et al.  A scientometric review of emerging trends and new developments in recommendation systems , 2015, Scientometrics.

[7]  Minghe Huang,et al.  A Personalized Recommendation System Based on Multi-agent , 2008, 2008 Second International Conference on Genetic and Evolutionary Computing.

[8]  Yanda Li,et al.  TRUST!-A distributed multi-agent system for community formation and information recommendation , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[9]  Agostino Poggi,et al.  Jade - a fipa-compliant agent framework , 1999 .

[10]  Douglas B. Moran,et al.  The Open Agent Architecture: A Framework for Building Distributed Software Systems , 1999, Appl. Artif. Intell..

[11]  Yu He,et al.  The YouTube video recommendation system , 2010, RecSys '10.

[12]  Giuseppe M. L. Sarnè,et al.  A multi-agent recommender system for supporting device adaptivity in e-Commerce , 2011, Journal of Intelligent Information Systems.

[13]  Scott A. DeLoach,et al.  OBAA++: an agent architecture for participating in multiple groups , 2014, AAMAS.

[14]  David Sánchez,et al.  Turist@: Agent-based personalised recommendation of tourist activities , 2012, Expert Syst. Appl..

[15]  John Zimmerman,et al.  A Multi-Agent TV Recommender , 2001 .

[16]  Abhinandan Das,et al.  Google news personalization: scalable online collaborative filtering , 2007, WWW '07.

[17]  Timothy W. Finin,et al.  KQML as an agent communication language , 1994, CIKM '94.

[18]  Markus Zanker,et al.  Proceedings of the fourth ACM conference on Recommender systems , 2010, RecSys 2010.