JD Retail Technology
Jul 15, 2020 · Artificial Intelligence
Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com
The paper introduces a Category‑Specific Convolutional Neural Network (CSCNN) that jointly leverages product category information and visual features of e‑commerce images to improve click‑through‑rate (CTR) prediction, detailing its architecture, training strategy, large‑scale experiments, and significant performance gains in JD.com’s advertising system.
AdvertisingCTR predictioncategory-specific CNN
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