Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
arXiv:2509.10468v2 Announce Type: replace-cross
Abstract: Recent advances in generative recommenders adopt a two-stage paradigm: items are first tokenized into semantic IDs using a pretrained tokenizer, and then large language models (LLMs) are traine…