Pro-active Multi-Dimensional Recommender System using Multi-Agents

Authors

  • Hend Al Tair Khalifa University
  • Mohamed Jamal Zemerly Khalifa University
  • Mahmoud AL-Qutayri Khalifa University
  • Marcello Leida Etisalat-BT Innovation Centre (EBTIC)

DOI:

https://doi.org/10.3991/ijim.v6i3.2012

Keywords:

Multi-agent, multi-dimensional rating, pro-activity, recommender system

Abstract


Recommender systems currently used in many applications, including tourism, tend to simply be reactive to user request. The recommender system proposed in this paper uses multi-agents and multi-dimensional contextual information to achieve proactive behavior. User profile and behavior get implicitly incorporated and subsequently updated in the system. The recommender system has been developed and applied to the tourism domain. It was tested and evaluated by relatively large set of real users The evaluation conducted shows that most of the users are satisfied with the functionality of the system and its ability to produce the recommendation adaptively and proactively taking into considerations different factors.

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Published

2012-07-09

How to Cite

Al Tair, H., Zemerly, M. J., AL-Qutayri, M., & Leida, M. (2012). Pro-active Multi-Dimensional Recommender System using Multi-Agents. International Journal of Interactive Mobile Technologies (iJIM), 6(3), pp. 4–12. https://doi.org/10.3991/ijim.v6i3.2012

Issue

Section

Papers