PIIR/TDSRec-dataset
Large-Scale Search Recommendation Dataset for Temporal Distribution Shift ๐ฅ๐ฅ๐ฅ Background Temporal Distribution Shift (TDS) in real-world recommender systems refers to the phenomenon where the data distribution changes over time, driven by internal interventions (e.g., promotions, product launches) and external shocks (e.g., seasonality, media), degrading model generalization if trained under IID assumption. In our work, we propose ELBO_TDS [paper|code], aโฆ See the full description on the dataset page: https://huggingface.co/datasets/PIIR/TDSRec-dataset.
| Author / organization | PIIR |
|---|---|
| License (as declared) | mit |
| Downloads | 4.4K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 December 2025 |
| Last updated at source | 21 February 2026 |
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- 16 Oct 2026 Description: Large-Scale Search Recommendation Dataset for Temporal Distribution Shift ๐ฅ๐ฅ๐ฅ Background Temporal Distribution Shift (TDS) in real-world recommender systems refers to the phenomenon where the data distribution changes over time, driven b โ Large-Scale Search Recommendation Dataset for Temporal Distribution Shift ๐ฅ๐ฅ๐ฅ Background Temporal Distribution Shift (TDS) in real-world recommender systems refers to the phenomenon where the data distribution changes over time, driven b
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