CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation

Jieming Zhu, Mengqun Jin, Qijiong Liu +3

Embedding-based retrieval serves as a dominant approach to candidate item matching for industrial recommender systems. With the success of generative AI, generative retrieval has r…