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.
M. Ferrari Dacrema, P. Cremonesi, и D. Jannach. Proceedings of the 13th ACM Conference on Recommender Systems, стр. 101–109. New York, NY, USA, Association for Computing Machinery, (2019)
S. Zhang, и K. Balog. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &$\mathsemicolon$ Data Mining, стр. 1512-1520. ACM, (августа 2020)
J. O'Donovan, и B. Smyth. IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces, стр. 167--174. New York, NY, USA, ACM Press, (2005)