HoloRec: Holistic Encoding and Interleaved Reasoning for Generative Recommendation
Generative recommendation models that formulate the task as sequence generation overcome the objective fragmentation problem of traditional cascade architectures, yet existing approaches still suffer from flat semantic representations lacking hierarchical structure for multi-step reasoning and an externally constructed chain-of-thought (CoT) that requires expensive annotations and remains disconnected from the generation objective. We propose HoloRec, an endogenous chain-of-thought recommendation mechanism that unifies representation, reasoning, and generation by constructing a hierarchical semantic encoding matrix via multi-granularity nested residual quantization optimized by a holistic...
| Authors | Shuqi Zhao, Jingsong Su, Xiang Liu et al. |
|---|---|
| Primary category | cs.IR |
| Published | 13 June 2026 |
| Last updated at source | 13 June 2026 |
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