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Retail Product Search: A Practical Approach at Target

Paper recorded by Signals 4 on 2026-09-25 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.LG · 机器学习 · first seen 2026-09-28

Abstract

Search is one of the most important features in e-commerce, directly driving customer engagement and business growth. A good product search system must show both relevant and desirable results. However, retail search presents unique challenges. User intent can range from exact matches to open-ended discovery. Search systems must also balance multiple goals, such as relevance, revenue, and profit,

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#16 most recent of 310 cs.LG papers we have recorded · ↑ newer: Retrainable physics-integrated neural differentiable modeling of sinte · ↓ older: Scaling Density Functional Theory with Gaussian Splatting
Cite this page: Retail Product Search: A Practical Approach at Target: the #16 most recent of 310 cs.LG papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/retail-product-search-a-practical-approach-at-target.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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