Retail Product Search: A Practical Approach at Target
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, while keeping response times low. Traditional keyword-based methods often fall short in handling natural language or semantic queries. Vector search helps alleviate these issues, but it can miss key intent signals or return low-precision results. In this paper, we present the design of a hybrid s...
| Authors | Darshan Sonagara, Qujiaheng Zhang, Ankit Singh et al. |
|---|---|
| Primary category | cs.IR |
| Published | 25 September 2026 |
| Last updated at source | 25 September 2026 |
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