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Predicting Workout Quality to Help Coaches Support Sportspeople

Published in Proceedings of the Third International Workshop on Health Recommender Systems co-located with Twelfth ACM Conference on Recommender Systems (HealthRecSys'18), 2018

The support of a qualified coach is crucial to keep the motivation of sportspeople high and help them pursuing an active lifestyle. In this paper, we discuss the scenario in which a coach follows sportspeople remotely by means of an eHealth platform, named u4fit.

Fair performance-based user recommendation in eCoaching systems

Published in User Modeling and User-Adapted Interaction, Special Issue on Health Recommender Systems, 2022

In this paper, we study a system that supports coaches in keeping track of the athletes they follow by applying fair recommendations on where to invest their time at the moment. In addition to providing accurate athlete recommendations, the paper focuses on guaranteeing fair exposure in the ranking to secure equal opportunities for all athletes.

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