Title
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.
Year
DOI
Venue
2015
10.1007/978-3-319-19629-9_16
TRENDS IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS AND SUSTAINABILITY: THE PAAMS COLLECTION
Field
DocType
Volume
Recommender system,Tournament,Simulation,Computer science,Artificial intelligence,Machine learning
Conference
372
ISSN
Citations 
PageRank 
2194-5357
2
0.37
References 
Authors
10
5
Name
Order
Citations
PageRank
Vivian F. López Batista16312.89
Rubén E. Salamanca220.37
María N. Moreno3945.69
Ana B. Gil44914.81
Juan M. Corchado52899239.10