Unleash the Potential of Long Semantic IDs for Generative Recommendation

Ming Xia, Guoxin Ma, Zhiqin Zhou +1

Semantic ID-based generative recommenders face a granularity-efficiency dilemma between efficient recommendation with short IDs and expressive item modeling with long IDs. To break…