Recommender Systems: A Healthy Obsession

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Title: Recommender Systems: A Healthy Obsession
Authors: Smyth, Barry
Permanent link: http://hdl.handle.net/10197/10916
Date: 23-Jul-2019
Online since: 2019-07-15T14:02:05Z
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.
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: Insight Research Centre
Type of material: Journal Article
Publisher: AAAI Press
Journal: Proceedings of the AAAI Conference on Artificial Intelligence
Volume: 33
Issue: 1
Copyright (published version): 2019 Association for the Advancement of Artificial Intelligence
Keywords: Recommender systemsCollaborative filteringContent-based recommendationExerciseMachine learning
Other versions: https://aaai.org/Conferences/AAAI-19/aaai-19-senior-member-presentation-track/
Language: en
Status of Item: Peer reviewed
Conference Details: AAAI-19: 33rd AAAI Conference on Artificial Intelligence, Hilton Hawaiian Village, Honolulu, Hawaii, USA, 27 January - 1 February 2019
Appears in Collections:Insight Research Collection

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