Jia-Yi Dan

Addressing Cross-Stage Decoupling of Semantic and Collaborative Signals in Generative Recommendation

Generative recommendation reformulates sequential recommendation as autoregressive generation by encoding items into semantic tokens, enabling improved scaling capability and cross-domain generalization. However, existing generative recommender systems typically follow a two-stage pipeline, where item tokenization is l...