Towards reproducibility in recommender-systems research

User Model. User-Adapt. Interact., Volume 26, Issue 1, 2016, Pages 69-101.

Cited by: 53|Bibtex|Views43|Links
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Keywords:
Recommender systemsEvaluationExperimentationReproducibility

Abstract:

Numerous recommendation approaches are in use today. However, comparing their effectiveness is a challenging task because evaluation results are rarely reproducible. In this article, we examine the challenge of reproducibility in recommender-system research. We conduct experiments using Plista's news recommender system, and Docear's resea...More

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