Retail Product Search: A Practical Approach at Target

arXiv:2609.31498 · cs.IR, cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Embeddings — 19× in this paper · explained in 2 episodes
• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Reciprocal Rank Fusion — 4× in this paper
• Hybrid System — 3× in this paper · explained in 2 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Mean Reciprocal Rank — 1× in this paper
• Normalized Discounted Cumulative Gain — 1× in this paper
• Predictive Coding — 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

Sources

• Towards General Text Embeddings with Multi-stage Contrastive Learning
• Representation Learning with Contrastive Predictive Coding
• Text Embeddings by Weakly-Supervised Contrastive Pre-training

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