Building a Search by Image Shopping Experience with VOVA and Milvus
Blog post from Zilliz
VOVA, an e-commerce platform focusing on affordability and user experience, has integrated image search functionality into its platform using Milvus. The system works in two stages: data import and query. It uses YOLO for target detection and ResNet for feature vector extraction from images. Milvus is used to conduct vector similarity searches within the extensive product image library. VOVA's shop by image tool allows users to search for products using uploaded photos, enhancing the overall shopping experience on their platform.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 4 | 166 | 32 | 20 | +207% |
| Real-time | 1 | 802 | 286 | 88 | +12% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.