{"url":"/dataset/ciao","name":"Ciao","full_name":null,"description_markdown":"The **Ciao** dataset contains rating information of users given to items, and also contain item category information. The data comes from the Epinions dataset.\r\n\r\nSource: [Collaborative Translational Metric Learning](https://arxiv.org/abs/1906.01637)","description_withheld":null,"homepage":"https://www.cse.msu.edu/~tangjili/datasetcode/truststudy.htm","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"mTrust: discerning multi-faceted trust in a connected world","first_author":null,"url":"https://doi.org/10.1145/2124295.2124309"},"license":{"name":"Custom","url":"https://www.cse.msu.edu/~tangjili/datasetcode/truststudy.htm"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"}],"languages":[],"variants":["Ciao"],"data_loaders":[],"num_papers_in_archive":34,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/recommendation-systems-on-ciao","task":"Recommendation Systems","dataset_variant":"Ciao","rows":1,"metrics":["Hits@10","Hits@20","nDCG@10","nDCG@20"],"first_row_in_archive_order":{"model":"TransCF","paper":"/paper/collaborative-translational-metric-learning","metrics":{"Hits@10":"0.2292","Hits@20":"0.374","nDCG@10":"0.1167","nDCG@20":"0.1525"},"code_links":[{"title":"hkuds/recdiff","url":"https://github.com/hkuds/recdiff"},{"title":"pcy1302/TransCF","url":"https://github.com/pcy1302/TransCF"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/collaborative-translational-metric-learning","title":"Collaborative Translational Metric Learning","date":"2019-06-04","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}