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 urlsweetrs.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 textscSoft-Impute algorithm on the dataset.