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SweetRS: Dataset for a recommender systems of sweets
September 10, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Εukasz KidziΕski
arXiv ID
1709.03496
Category
cs.IR: Information Retrieval
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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 $28\%$ coverage. In this report, we give the full description of the environment and we benchmark the \textsc{Soft-Impute} algorithm on the dataset.
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