metadata
license: apache-2.0
task_categories:
- text-ranking
TARQ Dataset
This dataset is associated with the paper Equip Pre-ranking with Target Attention by Residual Quantization.
TARQ is a novel pre-ranking framework designed for industrial recommendation systems. It bridges the gap between efficiency and effectiveness by bringing the modeling power of Target Attention (TA) into the latency-critical pre-ranking stage through Residual Quantization.