Reproducibility

Improving accountability in recommender systems research through reproducibility
Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, …
Alejandro Bellogín, Alan Said
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Replicable evaluation of recommender systems
Recommender systems research is by and large based on comparisons of recommendation algorithms’ predictive accuracies: the better …
Alan Said, A. Bellogín
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RiVal - A toolkit to foster reproducibility in recommender system evaluation
Currently, it is diffcult to put in context and compare the results from a given evaluation of a recommender system, mainly because too …
Alan Said, A. Bellogín
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Workshop on reproducibility and replication in recommender systems evaluation
Experiment replication and reproduction are key requirements for empirical research methodology, and an important open issue in the …
Alejandro Bellogin, Pablo Castells, Alan Said, Domonkos Tikk
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