Sports Recommender Systems: Overview and Research Issues

TL;DR

This paper provides an overview of sports recommender systems, highlighting their applications in promoting health, performance, and virtual sports, while discussing current techniques and open research challenges.

Contribution

It offers a comprehensive survey of existing sports recommender systems, their applications, and identifies key open research issues in the field.

Findings

Sports recommender systems support health and performance goals.

Applications include food, training, talent, tactics, and virtual sports.

Open research issues involve personalization and data privacy.

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.