Recommender Systems: A Healthy Obsession

Authors

  • Barry Smyth University College Dublin

DOI:

https://doi.org/10.1609/aaai.v33i01.33019790

Abstract

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.

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Published

2019-07-17

How to Cite

Smyth, B. (2019). Recommender Systems: A Healthy Obsession. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9790-9794. https://doi.org/10.1609/aaai.v33i01.33019790

Issue

Section

Senior Member Presentation Track: Blue Sky Papers