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

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...

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Bibliographic Details
Main Authors: Hend Al Tair, Mohamed Jamal Zemerly, Mahmoud AL-Qutayri, Marcello Leida
Format: Article
Language:English
Published: International Association of Online Engineering (IAOE) 2012-07-01
Series:International Journal of Interactive Mobile Technologies
Subjects:
Online Access:http://online-journals.org/i-jim/article/view/2012