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--- |
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license: apache-2.0 |
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task_categories: |
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- tabular-classification |
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- other |
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tags: |
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- recommendation-system |
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- conversion-rate |
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- delayed-feedback |
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- taobao |
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--- |
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# CASCADE: Cascaded Sequences of Conversion and Delayed Refund |
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[Paper](https://huggingface.co/papers/2601.19965) | [GitHub](https://github.com/alimama-tech/NetCVR) |
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CASCADE is the first large-scale open dataset derived from the Taobao app for online continuous Net Conversion Rate (NetCVR) prediction. NetCVR is defined as the probability that a clicked item is purchased and not refunded, which captures true user satisfaction and business value more effectively than traditional conversion rates. |
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## Dataset Description |
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The dataset captures multi-stage user behaviors including click, add-to-cart, payment, and refund. It is designed to model the complex cascaded delayed feedback process: the delay from click to conversion and the delay from conversion to refund. |
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### Data Structure |
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As detailed in the official repository, the data includes: |
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- User/item/Related Features |
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- Timestamps for each conversion stage: `click_time`, `pay_time`, and `refund_time`. |
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## Usage |
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After downloading the dataset, you can process it using the scripts provided in the official GitHub repository: |
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```bash |
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# to process data |
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python process_CASCADE_with_MappingDict.py |
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``` |
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## Citation |
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If you find this dataset or research useful, please cite: |
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```bibtex |
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@article{luo2026modeling, |
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title={Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions}, |
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author={Luo, Mingxuan and Xv, Guipeng and Chen, Sishuo and Li, Xinyu and Zhang, Li and Chan, Zhangming and Sheng, Xiang-Rong and Zhu, Han and Xu, Jian and Zheng, Bo and Lin, Chen}, |
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journal={arXiv preprint arXiv:2601.19965}, |
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year={2026} |
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} |
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``` |
