HomeTech tech sharing
This article details how the used‑car technology team at Autohome optimized R&D efficiency through standardized workflows, task decomposition, unified time‑based measurement, rigorous demand review, flexible branching, CI/CD pipelines, and data‑driven metrics, resulting in higher throughput and reduced bug rates.
This article describes how AutoHome tackled the complexity of managing multiple relational, NoSQL, and Hive data stores by adopting openLooKeng for unified, cross‑source SQL queries, outlines its key features such as ANSI‑SQL support, diverse connectors, and query optimizations, and details the custom enhancements made to the Apache Kylin connector to better serve their commercial data analysis workloads.
This article presents a comprehensive overview of concept tag mining for recommendation systems, describing unsupervised pattern‑matching, semi‑supervised AutoPhase, and supervised NER approaches, analyzing their advantages and drawbacks, and offering practical solutions to tag duplication and quality issues.
This article explains how to create a reusable Vue component called PageTable that encapsulates Element UI table and pagination with built-in loading handling, data fetching via a parent-provided fetchData method, and slot-based column customization.
This article explains how the smart outbound calling platform was conceived, compares VoIP platforms, introduces Freeswitch architecture and development modes, details SIP call flows and configuration, and describes the progressive evolution from a single‑instance deployment to a load‑balanced, hub‑and‑spoke architecture for high‑concurrency, multi‑tenant call‑center services.
This article introduces a data‑collection SDK with a real‑time visualization feature, explains the shortcomings of traditional packet‑capture and log‑based methods, describes the underlying architecture—including a new SDK entry, encrypted reporting, WebSocket communication and Elasticsearch storage—and provides step‑by‑step usage instructions for developers.
This article details the architectural evolution of the Auto Home e‑commerce platform from its early monolithic stage through micro‑services, master‑data integration, and finally a platform‑centric architecture, describing the technical challenges, design decisions, service orchestration, extension‑point mechanisms, configuration management, tooling, data visualization, and knowledge‑sharing practices that enabled scalable, high‑performance online car sales.
This article describes a step‑by‑step iOS implementation that converts example car images into bitmap points, scans edges, removes duplicate points, compensates missing vertices, and finally builds a closed BezierPath to guide 360° vehicle photography, including full Objective‑C code snippets.
The article explains why browsers like Chrome 94 block cross‑origin requests from public contexts to private‑network resources, illustrates the issue with a reproducible example, analyzes the underlying policy changes, and provides practical solutions and configuration steps to mitigate the problem.
This article presents a comprehensive overview of building an automotive domain knowledge graph—from ontology design, data acquisition, and graph schema construction using JanusGraph, to its practical use in cold‑start, explanation, and ranking stages of recommendation systems—highlighting challenges, solutions, and performance benefits.
