Sports Recommender Systems: Overview and Research Issues
Abstract
Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sport. 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 working examples, we present an overview of sports recommender systems applications and techniques. Overall, we analyze the related state-of-the-art and discuss open research issues.
Keywords
Cite
@article{arxiv.2312.03785,
title = {Sports Recommender Systems: Overview and Research Issues},
author = {Alexander Felfernig and Manfred Wundara and Thi Ngoc Trang Tran and Viet-Man Le and Sebastian Lubos and Seda Polat-Erdeniz},
journal= {arXiv preprint arXiv:2312.03785},
year = {2023}
}
Comments
Article under review in the Journal of Intelligent Information Systems (Springer JIIS)