What is it about?
The FEVR framework provides a structured foundation to adopt adequate evaluation configurations that encompass this required multi-facettedness and provides the basis to advance in the field.
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Why is it important?
The comprehensive evaluation of the performance of a recommender system is a complex endeavor: many facets need to be considered in configuring an adequate and effective evaluation setting. In this paper, we consolidate and systematically organize this dispersed knowledge on recommender systems evaluation.
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This page is a summary of: Evaluating Recommender Systems: Survey and Framework, ACM Computing Surveys, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3556536.
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