Browsing by Author "Hulstijn, J."
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Metrics for evaluating explainable recommender systems
Hulstijn, J.; Tchappi, I.; Najjar, A.; Aydoğan, Reyhan (Springer, 2023)Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, ... -
Towards interactive explanation-based nutrition virtual coaching systems
Buzcu, Berk; Tessa, M.; Tchappi, I.; Najjar, A.; Hulstijn, J.; Calvaresi, D.; Aydoğan, Reyhan (Springer, 2024-01)The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition ...
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