arXiv Open Access 2017

SweetRS: Dataset for a recommender systems of sweets

Łukasz Kidziński

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Abstrak

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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cs.IR

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Łukasz Kidziński

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APA MLA BibTeX

Kidziński, Ł. (2017). SweetRS: Dataset for a recommender systems of sweets. https://arxiv.org/abs/1709.03496

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Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓