SweetRS: Dataset for a recommender systems of sweets

09/10/2017

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by   Łukasz Kidziński, et al.

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Benchmarking recommender system and matrix completion algorithms could be greatly simplified if the entire matrix was known. We built a <sweetrs.org> platform with 77 candies and sweets to rank. Over 2000 users submitted over 44000 grades resulting in a matrix with 28% coverage. In this report, we give the full description of the environment and we benchmark the Soft-Impute algorithm on the dataset.