IRAIDec 6, 2023

Sports Recommender Systems: Overview and Research Issues

arXiv:2312.03785v15 citationsh-index: 16
Originality Synthesis-oriented
AI Analysis

This is an incremental survey paper for researchers and practitioners in sports technology, summarizing existing work without introducing new methods.

The paper provides an overview of sports recommender systems, addressing their applications in fostering health and performance, and analyzes the current state-of-the-art while identifying open research issues.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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