{"url":"/dataset/ifashion-alibaba-pog","name":"iFashion Alibaba","full_name":"iFashion Alibaba: Personalized outfits","description_markdown":"```markdown\r\n1.   1.01 million outfits, 583K fashion items, with context information.\r\n2.   0.28 billion user click actions from 3.57 million users.\r\n\r\nExample usages:\r\n - Complete an outfit, considering both garments already in the outfit and user's previous clicks\r\n - Recommend garments\r\n - Predict outfit compatibility (based on the garments composing it)\r\n\r\n\r\nOutfit data\r\noutfit_id,item_id;item_id;item_id...\r\n\r\nUser data\r\nuser_id,item_id;item_id;...,outfit_id\r\n\r\nItem data\r\nitem_id,cate_id,pic_url,title\r\n\r\nGithub:  https://github.com/wenyuer/POG\r\nPaper: https://dl.acm.org/doi/abs/10.1145/3292500.3330652\r\n```","description_withheld":null,"homepage":"","introduced_date":"2019-05-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/pog-personalized-outfit-generation-for","title":"POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion","first_author":"Wen Chen","url":null},"license":null,"modalities":[],"tasks":[{"name":"Fashion Compatibility Learning","url":"/task/fashion-compatibility-learning","datasets_with_task":"/datasets/task/fashion-compatibility-learning"}],"languages":[],"variants":["iFashion Alibaba"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}