2025
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
NeurIPS 2025poster
Generative models have recently gained attention in recommendation systems by directly predicting item identifiers from user interaction sequences. However, existing methods suffer from significant information loss due to the separation of stages such as quantization and sequence modeling, hindering…