TY - JOUR AU - Smyth, Barry PY - 2019/07/17 Y2 - 2024/03/28 TI - Recommender Systems: A Healthy Obsession JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 33 IS - 01 SE - Senior Member Presentation Track: Blue Sky Papers DO - 10.1609/aaai.v33i01.33019790 UR - https://ojs.aaai.org/index.php/AAAI/article/view/5052 SP - 9790-9794 AB - <p>We propose endurance sports as a rich and novel domain for recommender systems and machine learning research. As sports like marathon running, triathlons, and mountain biking become more and more popular among recreational athletes, there exists a growing opportunity to develop solutions to a number of interesting prediction, classification, and recommendation challenges, to better support the complex training and competition needs of athletes. Such solutions have the potential to improve the health and well-being of large populations of users, by promoting and optimising exercise as part of a productive and healthy lifestyle.</p> ER -