Litcius/Paper detail

Sports recommender systems: overview and research directions

Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat-Erdeniz

2024Journal of Intelligent Information Systems16 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Recommender systemComputer scienceBoosting (machine learning)MultimediaData scienceWorld Wide WebArtificial intelligenceRecommender Systems and TechniquesVideo Analysis and SummarizationEducational Games and Gamification
Sports recommender systems: overview and research directions | Litcius