Abstract
Over the last decades Information and Communication Technologies (ICTs) are increasingly being used in sports, especially in football, aiming to improve the athletes training and results. However, training systems for young athletes do not have, for the most part, learning abilities in order to adapt, evolve and find new training recommendations, designed specifically for each young athlete.
In this paper introduce the Smart Coach user adaptation model, and whose main goal is to present our hybrid recommendation system to help young athletes evolve. This facilitate the interaction between members of a club technical staff and their young athletes, reinforcing the young person counselling, and their potential as an athlete.
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Acknowledgements
This work was supported by the Project 2017-1-PT01-KA202-035903, From Birth to Adult Age—a WBL successful Practice, co-funded by the ERASMUs+ programme of the European Union and by National Funds through the FCT—Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Project UID/EEA/00760/2019.
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Matos, P. et al. (2020). Smart Coach—A Recommendation System for Young Football Athletes. In: Novais, P., Lloret, J., Chamoso, P., Carneiro, D., Navarro, E., Omatu, S. (eds) Ambient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence. ISAmI 2019. Advances in Intelligent Systems and Computing, vol 1006 . Springer, Cham. https://doi.org/10.1007/978-3-030-24097-4_21
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