Sports recommender systems: overview and research directions

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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Pages (from-to)1125-1164
Number of pages40
JournalJournal of Intelligent Information Systems
Volume62
Issue number4
DOIs
Publication statusPublished - Aug 2024

Keywords

  • Collaborative filtering
  • Content-based filtering
  • Group recommender systems
  • Knowledge-based recommenders
  • Recommender systems
  • Sports

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Sports recommender systems: overview and research directions'. Together they form a unique fingerprint.

Cite this