{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sweetrs-dataset-for-a-recommender-systems-of","title":"SweetRS: Dataset for a recommender systems of sweets","arxiv_id":"1709.03496","date":"2017-09-10","proceeding":null,"authors":["Kidziński Łukasz"],"abstract":"Benchmarking recommender system and matrix completion algorithms could be\ngreatly simplified if the entire matrix was known. We built a \\url{sweetrs.org}\nplatform with $77$ candies and sweets to rank. Over $2000$ users submitted over\n$44000$ grades resulting in a matrix with $28\\%$ coverage. In this report, we\ngive the full description of the environment and we benchmark the\n\\textsc{Soft-Impute} algorithm on the dataset.","url_abs":"http://arxiv.org/abs/1709.03496v1","url_pdf":"http://arxiv.org/pdf/1709.03496v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"sweetrs-dataset-for-a-recommender-systems-of","repo_url":"https://github.com/kidzik/sweetrs-analysis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"matrix-completion","task_name":"Matrix Completion"},{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"}],"methods":[],"datasets_introduced":[{"slug":"sweetrs","name":"SweetRS","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}