SweetRS: Dataset for a recommender systems of sweets
نویسنده
چکیده
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.
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عنوان ژورنال:
- CoRR
دوره abs/1709.03496 شماره
صفحات -
تاریخ انتشار 2017