EPIC: Explicit Posterior Item Conditioning for Semantic ID Diffusion Recommendation

arXiv:2609.03522 · cs.IR, cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Generative Recommendation — 16× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Explicit Posterior Item Conditioning — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Tokenization — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptive Decoding — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes

Sources

• Masked Diffusion Generative Recommendation
• Masked Diffusion for Generative Recommendation
• LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation
• Gryphon: A Unified Architecture for Semantic-ID Generation and Item-Level Scoring in Industrial Recommendations
• Understanding Semantic IDs: From Item Representation to Item Selection in Generative Recommendation
• SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation
• Pctx: Tokenizing Personalized Context for Generative Recommendation

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