Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems 事件

Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems arXiv:2606.00282v1 Announce Type: cross Abstract: Large-scale recommendation systems operate across diverse domains, yet they face the challenges of data sparsity and noisy implicit feedback. Traditional approaches mitigate this via model-specific knowledge distillation from source domains to a target domain. Inspired by the transformative success of synthetic data generation in large language models (LLMs), we intro