SweetRS: Dataset for a recommender systems of sweets

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