G2Rec

G2Rec: Scalable framework unifying graph-based user modeling with semantic tokenization for generative recommendation

Researchers propose G2Rec, a framework that combines holistic graph-based user co-engagement modeling with semantic tokenization for industrial-scale generative recommendation systems. The approach addresses limitations of existing methods—scalability issues in graph serialization and lack of supervision in semantic tokenization—by learning user interest prototypes without ground-truth labels. The system has been deployed in production across product surfaces and evaluated on public datasets, showing improvements over prior methods.