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A knowledge-based recommender agent to choosing a competition system

Abstract:

In this paper, we present a knowledge-based recommender agent, which is part of a multiagent system (MAS) that controls all the basic tasks involved in organizing a sporting tournament. Using a recommendation algorithm, this agent finds one competition system that best suits the competitions characteristics in organizing a tournament. We show how knowledge-based recommender systems can be used to guide sport managers in the choice of competition system. This provides an interesting decision alternative, based on in the needs of the users and tournament data.