An Intelligent Multi-agent Recommender System

  • Mahmood A. Mahmood
  • Nashwa El-Bendary
  • Jan Platoš
  • Aboul Ella Hassanien
  • Hesham A. Hefny
Conference paper

DOI: 10.1007/978-3-319-01781-5_19

Volume 237 of the book series Advances in Intelligent Systems and Computing (AISC)
Cite this paper as:
Mahmood M.A., El-Bendary N., Platoš J., Hassanien A.E., Hefny H.A. (2014) An Intelligent Multi-agent Recommender System. In: Abraham A., Krömer P., Snášel V. (eds) Innovations in Bio-inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 237. Springer, Cham

Abstract

This article presents a Multi-Agent approach for handling the problem of recommendation. The proposed system works via two main agents; namely, the matching agent and the recommendation agent. Experimental results showed that the proposed rough mereology based Multi-agent system for solving the recommendation problem is scalable and has possibilities for future modification and adaptability to other problem domains. Moreover, it succeeded in reducing the information overload while recommending relevant decisions to users. The system achieved high accuracy in ranking using users profile and information system profiles. The resulted value of the Mean Absolute Error (MAE) is acceptable compared to other recommender systems applied other computational intelligence approaches.

Keywords

rough mereology multi-agent recommender system 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mahmood A. Mahmood
    • 1
    • 2
  • Nashwa El-Bendary
    • 3
  • Jan Platoš
    • 4
  • Aboul Ella Hassanien
    • 5
    • 2
  • Hesham A. Hefny
    • 1
    • 2
  1. 1.ISSR, Computer Sciences and Information Dept.Cairo UniversityCairoEgypt
  2. 2.Scientific Research Group in Egypt (SRGE)GizaEgypt
  3. 3.Arab Academy for Science, Technology, and Maritime TransportCairoEgypt
  4. 4.Department of Computer ScienceVSB-Technical University of OstravaOstravaCzech Republic
  5. 5.Information Technology Dept., Faculty of Computers and InformationCairo UniversityCairoEgypt