category-specific CNN

DataFunTalk

Sep 2, 2020 · Artificial Intelligence

CSCNN: Category‑Specific Convolutional Neural Network for Visual CTR Prediction in JD E‑commerce Advertising

This article presents CSCNN, a category‑specific convolutional neural network that integrates visual priors into click‑through‑rate (CTR) models for JD.com’s e‑commerce advertising, detailing its motivation, architecture, engineering optimizations, offline and online training strategies, and empirical performance gains on both public and industrial datasets.

CTR predictioncategory-specific CNNdeep learning

0 likes · 19 min read

CSCNN: Category‑Specific Convolutional Neural Network for Visual CTR Prediction in JD E‑commerce Advertising

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.

CTR predictionadvertisingcategory-specific CNN

0 likes · 13 min read

Category-Specific CNN for Visual-Aware Click‑Through Rate Prediction at JD.com