GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
an Jiaotong University) · Shengyu Zhou · Jinyu Lu · Qidong Liu (Xi' · Xinhang Li · Wenlin Zhang · Feng Li · Pengjie Wang · Chuan Yu · Yundu Huang (Taobao & · Zerui Huang (Taobao & · an Jiaotong University)
摘要
Generative recommendation (GR) has shown great promise in industrial applications, particularly for candidate generation and end-to-end recommendations. However, existing GR training paradigms suffer from two fundamental mismatches with real-world deployment requirements. First, they optimize for...