Official tech channel of 58, a platform for tech innovation, sharing, and communication.
This article provides a comprehensive tutorial on Vite, explaining its core principles, architecture, and practical implementation, while detailing a step‑by‑step migration from Webpack—including handling JSX, aliasing, module resolution, CSS, HMR, and performance improvements—complete with code snippets and real‑world challenges.
This article explains how 58's Process Open Platform uses a low‑code approach with a visual form designer and a JSON‑schema‑driven renderer to dramatically improve the efficiency of creating, maintaining, and deploying business forms and approval workflows.
This tutorial explains how to create a Chrome browser extension that generates QR codes (optionally with protocol headers) and decodes them, covering the background motivation, directory layout, manifest and popup design, core JavaScript logic, installation steps, and a download link for the complete source.
This report details how the Search Recommendation team at 58.com upgraded their deep learning ranking model for recruitment by adding multi-valued and semantic vector features, integrating conversion sequences, employing feature‑crossing techniques, optimizing offline data pipelines, and planning future multi‑scene improvements to boost CTR and relevance.
This article examines how the widely used Objective‑C‑RSA library can cause RSA encryption failures on iOS when multiple threads concurrently add, delete, and query keychain entries using the same tag, leading to error‑25300 and data corruption, and proposes practical fixes.
This article details the 58.com WPAI machine learning platform's architecture and the optimizations applied to training task scheduling, inference service elastic scaling, and offline‑online resource mixing, demonstrating how these techniques significantly improve GPU/CPU utilization and inference performance across both GPU and CPU environments.
This document presents the background, objectives, research findings, design principles, API specifications, caching strategy, implementation details, XML usage, memory impact analysis, and conclusions of a unified rich‑media animation component that consolidates image, GIF, Lottie, pager and video handling for efficient reuse in Android RecyclerView lists.
This article details the background, current status, and engineering architecture of introducing Swift into 58 Group’s real‑estate iOS apps, explains the two main mixed‑compilation approaches (bridging header and module), presents practical module setup, discusses reflection pitfalls, binding solutions, and performance comparisons between Swift and Objective‑C implementations.
This talk explains how 58.com tackles the cold‑start and interest‑divergence problems of its massive blue‑collar job recruitment platform by modeling the recommendation process as a reinforcement‑learning task, detailing the use of multi‑armed bandit, contextual bandit, and linear‑UCB algorithms, offline evaluation pipelines, online deployment, and observed performance gains.
dl_inference is an open‑source, production‑grade deep learning inference platform that supports TensorFlow, PyTorch and Caffe models, offering GPU and CPU deployment, TensorRT and MKL acceleration, multi‑node load balancing, and extensive Q&A on model conversion, hardware requirements, INT8 quantization, and performance gains.
