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Abstract Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sports. These systems support people in sports, for example, by the recommendation of healthy and performance-boosting food items, the recommendation of training practices, talent and team recommendation, and the recommendation of specific tactics in competitions. With applications in the virtual world, for example, the recommendation of maps or opponents in e-sports, these systems already transcend conventional sports scenarios where physical presence is needed. On the basis of different examples, we present an overview of sports recommender systems applications and techniques. Overall, we analyze the related state-of-the-art and discuss future research directions.
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Alexander Felfernig
Graz University of Technology
Manfred Wundara
Graz University of Technology
Thi Ngoc Trang Tran
Graz University of Technology
Journal of Intelligent Information Systems
Graz University of Technology
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Felfernig et al. (Thu,) studied this question.
synapsesocial.com/papers/68e68ac7b6db643587612e58 — DOI: https://doi.org/10.1007/s10844-024-00857-w