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.
S. Zhang, and K. Balog. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &$\mathsemicolon$ Data Mining, page 1512-1520. ACM, (August 2020)