{"url":"/dataset/otto-recommender-systems-dataset","name":"OTTO Recommender Systems Dataset","full_name":null,"description_markdown":"The `OTTO` session dataset is a large-scale dataset intended for multi-objective recommendation research. We collected the data from anonymized behavior logs of the [OTTO](https://otto.de) webshop and the app. The mission of this dataset is to serve as a benchmark for session-based recommendations and foster research in the multi-objective and session-based recommender systems area. We also launched a [Kaggle competition](https://www.kaggle.com/competitions/otto-recommender-system) with the goal to predict clicks, cart additions, and orders based on previous events in a user session.\r\n\r\nFor additional background, please see the published [OTTO Recommender Systems Dataset](https://github.com/otto-de/recsys-dataset) GitHub.\r\n\r\n## Key Features\r\n\r\n- 12M real-world anonymized user sessions\r\n- 220M events, consiting of `clicks`, `carts` and `orders`\r\n- 1.8M unique articles in the catalogue\r\n- Ready to use data in `.jsonl` format\r\n- Evaluation metrics for multi-objective optimization\r\n\r\n## Dataset Statistics\r\n\r\n| Dataset |  #sessions |    #items |     #events |     #clicks |     #carts |   #orders | Density [%] |\r\n| :------ | ---------: | --------: | ----------: | ----------: | ---------: | --------: | ----------: |\r\n| Train   | 12.899.779 | 1.855.603 | 216.716.096 | 194.720.954 | 16.896.191 | 5.098.951 |      0.0005 |\r\n| Test    |  1.671.803 | 1.019.357 |  13.851.293 |  12.340.303 |  1.155.698 |   355.292 |      0.0005 |","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/otto/recsys-dataset","introduced_date":"2022-11-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"},{"name":"Session-Based Recommendations","url":"/task/session-based-recommendations","datasets_with_task":"/datasets/task/session-based-recommendations"},{"name":"Product Recommendation","url":"/task/product-recommendation","datasets_with_task":"/datasets/task/product-recommendation"}],"languages":[],"variants":["OTTO Recommender Systems Dataset"],"data_loaders":[],"num_papers_in_archive":1,"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."}