A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

Dacrema Maurizio Ferrari
Dacrema Maurizio Ferrari
Boglio Simone
Boglio Simone
Cited by: 0|Bibtex|Views13|Links

Abstract:

The design of algorithms that generate personalized ranked item lists is a central topic of research in the field of recommender systems. In the past few years, in particular, approaches based on deep learning (neural) techniques have become dominant in the literature. For all of them, substantial progress over the state-of-the-art is c...More

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