Conditional Memory Enhanced Item Representation for Generative Recommendation
arXiv:2605.11447v2 Announce Type: replace-cross Abstract: Generative recommendation (GR) has emerged as a promising paradigm that predicts target items by autoregressively generating their semantic identifiers (SID). Most GR methods follow a quantization-representation-generation pipeline. While most research focuses on quantization and generation, the representation that bridges the two remains underexplored. Existing representation constructions mainly take two forms: either directly flatteni…