How Frontend Code Was Auto-Generated for Alibaba’s Double‑11 Event

This article explains how Alibaba's Frontend Intelligent Project automatically generated 79.34% of the Double‑11 page code by recognizing business modules from visual drafts using data‑augmented samples, traditional multi‑class machine‑learning models, and a pipeline of preprocessing, model training, deployment, and OOD handling.

AutomationCode GenerationModel Deployment

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How Frontend Code Was Auto-Generated for Alibaba’s Double‑11 Event

Xianyu Technology

Sep 12, 2019 · Artificial Intelligence

Deep Learning for Automated Module Detection in Taobao 99 Promotion Pages

This study presents a deep‑learning pipeline that employs a Cascade‑RCNN with Feature Pyramid Network to automatically detect and refine modules and their internal elements on Taobao’s 99‑promotion pages, achieving roughly 98 % precision and recall on a thousand‑image validation set and paving the way for broader e‑commerce event applications.

Cascade R-CNNComputer VisionDeep Learning

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Deep Learning for Automated Module Detection in Taobao 99 Promotion Pages