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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17, 734–749 (2005)
Burke, R.: Knowledge-based recommender systems. In: Encyclopedia of Library and Information Systems (2000)
Carrer-Neto, W., Hernández-Alcaraz, M.L., Valencia-García, R., García-Sánchez, F.: Social knowledge-based recommender system. Application to the movies domain. Expert Systems with Applications 39, 10990–11000 (2012)
Chen, R., Huang, Y., Bau, C., Chen, S.: A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection. Expert Systems with Applications 39, 3995–4006 (2012)
Cho, H.C., Kim, J.K., Kim, S.H.: A personalized recommender system based on web usage mining and decision tree induction. Expert Systems with Applications 23, 329–342 (2002)
Gonςalves, M., Marques, P., Ciarelli, O.E.: Recommendation of programming activities by multi-label classification for a formative assessment of students. Expert Systems with Applications 40, 6641–6651 (2013)
Hayes, C., Cunningham, P.: Smart radio - community based music radio. Knowledge-Based Systems 14(3-4), 197–201 (2001)
Hammond, K.: Case-base planning: Viewing Planning as a Memory Task. Academic Press, Boston (1989)
Huang, Y., Bian, L.: A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attraction over the Internet. Expert Systems with Applications 36, 933–943 (2009)
Lee, C.H.,, Kim, Y.H., Rhee, P.K.: Web personalization expert with combining collaborative filtering and association rule Mining Technique. Expert Systems with Applications 21, 131–137 (2001)
Manber, U., Patel, A., Robison, J.: Experience with personalization of Yahoo! Communications of the ACM 43(8), 35–39 (2000)
Manouselis, N., Vuorikari, R., Van Assche, F.: Collaborative recommendation of e-learning resources: An experimental investigation. Journal of Computer Assisted Learning 26, 227–242 (2010)
Park, D.H., Kim, H.K., Choi, I.Y., Kim, J.K.: A literature review and classification of recommender systems research. Expert Systems with Applications 39, 10059–10072 (2012)
Resnick, P., Lacovou, N., Suchack, M., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proc. of ACM Conference on Computer Supported Cooperative Work, pp. 175–186 (1994)
Ruan, D., Hardeman, F., Van Der Meer, K.: Intelligent Decision and Policy Making Support Systems. SCI, vol. 177. Springer, Heidelberg (1984)
Schapire, R.E., Singer, Y.: Boostexter, A boosting-based system for text categorization. Machine Learning 39(2/3), 135–168 (2000)
Schafer, J.B., Konstant, J.A., Riedl, J.: E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery 5, 115–153 (2001)
Zaiane, O.: Building a recommender agent for e-learning systems. In: Proceedings of the International Conference on Computers in Education, vol. 1, pp. 55–59 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
López, V.F., Salamanca, R.E., Moreno, M.N., Gil, A.B., Corchado, J.M. (2015). A Knowledge-Based Recommender Agent to Choosing a Competition System. In: Bajo, J., et al. Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-319-19629-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-19629-9_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19628-2
Online ISBN: 978-3-319-19629-9
eBook Packages: EngineeringEngineering (R0)