Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster

arXiv:2608.30606 · cs.IR, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.IR, cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Embeddings — 14× in this paper · explained in 2 episodes
• Quantization — 6× in this paper · explained in 12 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Generative Recommendation — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• UniSearch: Rethinking Search System with a Unified Generative Architecture
• Representation Learning with Contrastive Predictive Coding
• ReasonIR: Training Retrievers for Reasoning Tasks
• BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
• Learning to Tokenize for Generative Retrieval
• Qwen2 Technical Report

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