Large-Scale Search Recommendation Dataset for Temporal Distribution Shift 🔥🔥🔥
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], a lightweight… See the full description on the dataset page: https://huggingface.co/datasets/PIIR/TDSRec-dataset.