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About Deep Learning ECOMMERCE
This document proposes a unified deep learning approach for visual search and recommendation in e-commerce. It introduces VisNet, a convolutional neural network architecture that learns embeddings to capture visual similarity across different semantic levels. The authors demonstrate VisNet's superiority on an image retrieval task. They then discuss deploying the model at Flipkart to power visual recommendations across 50M products, supporting 2K queries per second and yielding significant business impact.
Detailed Information
| Author: | ['piyush nishant'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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