User-Centric Evaluation of Recommender Systems in Social Learning Platforms: Accuracy is Just the Tip of the Iceberg
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 sa...
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Veröffentlicht in: | IEEE transactions on learning technologies 2018-07, Vol.11 (3), p.294-306 |
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Sprache: | eng |
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