Published in 4th SemWebEval Challenge at ESWC, 2017
In this paper we propose a system that represents the sentiment analysis core engine of theShukran social network, we will detect the original language of users posts, translate them into English and evaluate their sentiment (whether positive, negative or neutral).
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.
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.