SweetRS: Dataset for a recommender systems of sweets
2017-09-10Code Available0· sign in to hype
Kidziński Łukasz
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Abstract
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.