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Fazeli, Soude; Drachsler, Hendrik; Bitter-Rijpkema, Marlies; Brouns, Francis; Brouns, Wim van der Vegt; Sloep, Peter B. – IEEE Transactions on Learning Technologies, 2018
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction. Therefore, evaluations that measure user satisfaction should also be performed before…
Descriptors: Evaluation, Socialization, Accuracy, Prediction