This post describes how imgcook recognizes design components and expresses them with front-end components for intelligent code generation.
This blog discusses in depth about layout algorithms used by imgcook, focusing on page splitting, loop, and multi-status identification.
Read how Alibaba has proven that remote R&D can be efficient even when working remotely by releasing a new version of Taobao Mobile after just five days of development.
This article introduces the concept of semantics in D2C and elaborates further on various semantic decision models based on reinforcement learning and text classification.
This article will describe how imgcook optimizes data and model by building a complete closed-loop procedure for the icon model.
This article introduces Alibaba's solutions and experiences on adopting SSR from the perspective of the server-side and front-end for the Double 11 virtual venue.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article discusses business module recognition and explores the random forest and XGBoost models for intelligent frontend code generation.
This article discusses how to generate frontend code from design files intelligently, specifically on code generation for forms and tables.
This article describes how to use algorithms to provide users with a friendlier UI during Double 11.
This article thoroughly explores the advantages of developing a Flutter system and how it can help businesses such as Taobao.
This blog discusses how Taobao applied serverless technology to improve its efficiency by 38.89% and ensure stability and reliability for Double 11.
This post briefly explains the core commercial AI system for Taobao and discusses how it has transformed the app into an "intelligent app".
This article analyzes Taobao's frontend development journey in four phases: stone age, silver age, golden age, and future age.
Live shopping trend is witnessing explosive growth in 2020. This article introduces the cutting-edge technologies behind Taobao live streaming.
This article focuses on deep learning algorithm engineering and uses Taobao to explain how to build a device-to-device platform for AI algorithm platforms.
This article explores how the Alibaba database kernel team achieved high performance while maintaining a low cost.
This article describes how Taobao effectively manages data storage and retrieval of millions of everyday orders and transactions to enhance the user experience.
