3 papers
cs.IR2026
Prompt Generation Technical Report
Dan Ou, Gui Ling, Hao Wan +25
The paper introduces Prompt Generation (PG), a configuration‑driven framework that separates feature processing from model architecture for generative retrieval systems, enabling f…
cs.IR2025
Causality Enhancement for Cross-Domain Recommendation
Zhibo Wu, Yunfan Wu, Lin Jiang +2
Cross-domain recommendation forms a crucial component in recommendation systems. It leverages auxiliary information through source domain tasks or features to enhance target domain…
cs.IR2025
GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
Zhibo Wu, Yunfan Wu, Quan Liu +3
Multi-interest recommendation has gained attention, especially in industrial retrieval stage. Unlike classical dual-tower methods, it generates multiple user representations instea…