Recommender Systems Evaluation: Dimensions and Design

Evaluation is a cardinal issue in recommender systems; as in almost any other technical discipline, it highlights to a large extent the problems that need to be solved by the field and, hence, leads the way for algorithmic research and development in the community. Yet, in the field of recommender systems, there still exists considerable disparity in evaluation methods, metrics, and experimental designs as well as a significant mismatch between evaluation methods in the lab and what constitutes an effective recommendation for real users and businesses. This workshop aims at providing an informal forum to tackle such issues and move towards better understood and commonly agreed evaluation methodologies, allowing one to leverage the efforts and the workforce of the academic community on meaningful and relevant directions to real-world developments.

  • Panagiotis Adamopoulos, New York University, USA
  • Alejandro Bellogín, Universidad Autónoma de Madrid, Spain
  • Pablo Castells, Universidad Autónoma de Madrid, Spain
  • Paolo Cremonesi, Politecnico di Milano, Italy
  • Harald Steck, Netflix, USA
Workshop Date

Oct 10, 14.00 – 17.30


Syracuse Room

Web site

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