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Meituan Technology Team
Meituan Technology Team
Oct 30, 2017 · Frontend Development

Hermes Project: Front‑End Architecture, Modularization, Componentization, Automation and Performance Optimization at Meituan‑Dianping

The Hermes project at Meituan‑Dianping re‑engineered its overseas vacation front‑end by separating front‑ and back‑ends, modularizing code with ES6, building a Vue‑based reusable component library, automating builds and testing, and optimizing page‑load performance through CDN caching, monitoring, and offline strategies, dramatically boosting developer productivity and user experience.

ComponentizationMeituanVue.js
0 likes · 15 min read
Hermes Project: Front‑End Architecture, Modularization, Componentization, Automation and Performance Optimization at Meituan‑Dianping
MaGe Linux Operations
MaGe Linux Operations
Sep 18, 2017 · Backend Development

How to Scrape Meituan Waimai App Comments via AJAX and JavaScript

This guide walks you through analyzing the Meituan Waimai app's comment section, uncovering the AJAX requests that load data, constructing the proper URL pattern, looping through pages to fetch JSON, and storing the results in files or a database for further analysis.

Data ExtractionJavaScriptMeituan
0 likes · 5 min read
How to Scrape Meituan Waimai App Comments via AJAX and JavaScript
Meituan Technology Team
Meituan Technology Team
Apr 14, 2017 · Operations

Meituan Dianping's Automation Concepts and Practices

Meituan Dianping’s technical salon showcased its automation journey—detailing database automation platforms, service‑tree management, Puppet‑based web control, and a CMDB case study from Shanghai Zhaogang—highlighting rapid iteration, standardization challenges, and the evolution of automation from tools to core operational practice.

DevOpsMeituanOperations Automation
0 likes · 4 min read
Meituan Dianping's Automation Concepts and Practices
Meituan Technology Team
Meituan Technology Team
Apr 14, 2017 · Big Data

Practical Experience of HDFS Federation at Meituan: Challenges, Improvements, and Automation

Meituan‑Dianping migrated its 2,000‑node HDFS cluster to Federation by fixing ViewFs compatibility, simplifying mount points, leveraging FastCopy for massive data moves, improving token handling, and automating split‑workflow steps, thereby overcoming single‑NameNode bottlenecks and providing a practical blueprint for large‑scale Hadoop deployments.

Big DataFastCopyFederation
0 likes · 22 min read
Practical Experience of HDFS Federation at Meituan: Challenges, Improvements, and Automation
Meituan Technology Team
Meituan Technology Team
Apr 14, 2017 · Mobile Development

Analyzing and Solving OutOfMemoryError (OOM) in Meituan Android App

The Meituan Android team traced a surge of OutOfMemoryError crashes to duplicated drawable caches created by the AppCompat vector‑from‑resources flag, reproduced the condition on OPPO N1 devices, used heap‑dump analysis to pinpoint oversized byte‑array allocations, and eliminated the issue by disabling the flag, dramatically cutting OOM incidents.

AndroidMeituanOutOfMemoryError
0 likes · 12 min read
Analyzing and Solving OutOfMemoryError (OOM) in Meituan Android App
Meituan Technology Team
Meituan Technology Team
Feb 10, 2017 · Artificial Intelligence

Deep Learning Applications in Semantic Matching, Image Quality Ranking, and OCR at Meituan-Dianping

Meituan‑Dianping leverages deep‑learning models—including ClickNet for semantic search matching, an AlexNet‑based image‑quality ranker, and a Faster‑RCNN/FCN‑driven OCR pipeline—to personalize results, select attractive POI images, and extract text, achieving higher click‑through rates, conversions, and operational efficiency across its O2O services.

AI applicationsMeituanOCR
0 likes · 13 min read
Deep Learning Applications in Semantic Matching, Image Quality Ranking, and OCR at Meituan-Dianping
Meituan Technology Team
Meituan Technology Team
Dec 27, 2016 · Backend Development

Meituan Group Order System: Optimization, Sharding, and Service‑Oriented Refactoring

Meituan’s group‑buy order system was refactored from a monolithic, single‑point‑failure design into a sharded, micro‑service architecture with connection‑pool middleware, dual‑cluster databases, and robust messaging, delivering stable, high‑performance handling of millions of daily orders even during peak events.

MeituanMicroservicesService Architecture
0 likes · 14 min read
Meituan Group Order System: Optimization, Sharding, and Service‑Oriented Refactoring
Meituan Technology Team
Meituan Technology Team
Sep 9, 2016 · Backend Development

Evolution and Scaling of Meituan's Food Delivery Order System

Meituan’s food‑delivery order platform evolved from a simple monolithic prototype in 2013 to a distributed, highly available service that now handles tens of millions of orders daily, using asynchronous processing, sharding, multi‑data‑center deployment, and automated operations to achieve sub‑150 ms transaction latency and 99.9999% uptime.

BackendMeituandistributed architecture
0 likes · 20 min read
Evolution and Scaling of Meituan's Food Delivery Order System
Meituan Technology Team
Meituan Technology Team
Aug 5, 2016 · Big Data

Meituan Delivery Big Data: Full‑Chain Application Insights

The talk details Meituan‑Dianping’s end‑to‑end delivery big‑data system, highlighting mobile‑ and local‑centric usage, a two‑stage forecasting pipeline that combines autoregressive baselines with a boosting‑based multiplier model, layered log‑collect‑process‑serve architecture, sophisticated feature engineering, real‑time inference, and strategies for logistics constraints and cold‑start merchants.

Big DataMeituandelivery
0 likes · 8 min read
Meituan Delivery Big Data: Full‑Chain Application Insights
Meituan Technology Team
Meituan Technology Team
Aug 5, 2016 · Big Data

Meituan-Dianping Tech Salon: Full‑Chain Application of Food‑Delivery Big Data – User Profiling, Marketing Strategies, and Predictive Modeling

The Meituan‑Dianping tech salon detailed how food‑delivery big data drives full‑chain marketing, using RFM‑based user segmentation, rich demographic and behavior profiles, churn‑prediction and survival models, and scenario‑driven expansion tactics to acquire, retain, and grow customers across the order lifecycle.

Big DataMeituanPredictive Modeling
0 likes · 9 min read
Meituan-Dianping Tech Salon: Full‑Chain Application of Food‑Delivery Big Data – User Profiling, Marketing Strategies, and Predictive Modeling
Architecture Digest
Architecture Digest
Apr 14, 2016 · Big Data

Data‑Driven Precise Marketing: Architecture and Case Studies from Meituan Dianping

This article presents Meituan Dianping's data‑driven precise marketing architecture, detailing a layered pyramid system, user profiling, budget monitoring, and two real‑world cases—potential user mining and a smart coupon engine—demonstrating how big‑data techniques improve marketing efficiency and ROI.

Data ArchitectureMeituanmachine learning
0 likes · 12 min read
Data‑Driven Precise Marketing: Architecture and Case Studies from Meituan Dianping
Big Data and Microservices
Big Data and Microservices
Apr 10, 2016 · Industry Insights

How Meituan Scaled Its Tech Architecture from LAMP to a Cloud‑Native O2O Platform

In this interview, Meituan’s technology committee chair Xia Huaxia explains how the company’s architecture evolved from a simple LAMP stack to a multi‑layer, cloud‑native system, detailing the separation of infrastructure, business, and front‑end components, the use of open‑source tools, and the systematic simplification, standardization, automation, and quantification of business processes to support rapid O2O growth.

Cloud NativeMeituanO2O
0 likes · 28 min read
How Meituan Scaled Its Tech Architecture from LAMP to a Cloud‑Native O2O Platform
Architecture Digest
Architecture Digest
Apr 9, 2016 · Big Data

Practical Experience of Using Spark at Meituan: Platformization, ETL Templates, Feature Platform, Data Mining, and Real‑World Applications

This article describes how Meituan migrated from Hive‑SQL and MapReduce to Spark on YARN, built an interactive Zeppelin‑based development platform, created reusable ETL templates, constructed a Spark‑driven feature and data‑mining platform, and applied Spark to interactive user‑behavior analysis and large‑scale SEM services, highlighting performance gains and operational benefits.

Big DataData PlatformETL
0 likes · 19 min read
Practical Experience of Using Spark at Meituan: Platformization, ETL Templates, Feature Platform, Data Mining, and Real‑World Applications
21CTO
21CTO
Mar 5, 2016 · Product Management

What Drives a Serial Tech Founder? Lessons from Meituan CEO Wang Xing’s Journey

The article chronicles Meituan CEO Wang Xing’s entrepreneurial path—from early failures and campus social networks to the rise of Meituan—highlighting his iterative product strategy, relentless trial‑and‑error, and the leadership traits that turned repeated setbacks into lasting success.

EntrepreneurshipMeituanWang Xing
0 likes · 11 min read
What Drives a Serial Tech Founder? Lessons from Meituan CEO Wang Xing’s Journey
21CTO
21CTO
Dec 30, 2015 · Frontend Development

How Meituan Overcame Performance Bottlenecks with a Custom Analysis Framework

This article details Meituan's 2014 presentation on building a performance analysis framework and monitoring platform, describing the bottlenecks they faced, the metrics they collected, the insights gained, and the tangible improvements achieved across front‑end and back‑end processing.

Frontend OptimizationMeituanPerformance Monitoring
0 likes · 13 min read
How Meituan Overcame Performance Bottlenecks with a Custom Analysis Framework
21CTO
21CTO
Nov 20, 2015 · Artificial Intelligence

How Meituan Builds and Optimizes Its Recommendation System

This article explains Meituan's end‑to‑end recommendation system architecture, data processing pipeline, candidate generation strategies, model training and online ranking techniques, illustrating how data, algorithms, and real‑time signals are combined to improve relevance and conversion.

AIMeituandata engineering
0 likes · 19 min read
How Meituan Builds and Optimizes Its Recommendation System
21CTO
21CTO
Sep 28, 2015 · Artificial Intelligence

How Meituan Built a Scalable AI‑Powered Recommendation Engine

This article details Meituan's end‑to‑end recommendation system, covering its four‑layer architecture, data sources, candidate‑generation strategies, fusion methods, and both linear and non‑linear re‑ranking models, while highlighting practical optimizations like AB testing and online learning.

MeituanOnline Learningdata pipelines
0 likes · 15 min read
How Meituan Built a Scalable AI‑Powered Recommendation Engine
21CTO
21CTO
Sep 8, 2015 · Artificial Intelligence

Inside Meituan’s Recommendation Engine: From Data to Real‑Time Ranking

This article outlines Meituan’s end‑to‑end recommendation system, describing its data layer, candidate‑generation triggers, fusion strategies, and machine‑learning‑based ranking models—including collaborative filtering, location‑based, query‑based, graph‑based methods, and both linear and non‑linear models—while highlighting practical optimizations such as AB testing, real‑time behavior handling, and fallback strategies.

MeituanOnline Learningcandidate generation
0 likes · 19 min read
Inside Meituan’s Recommendation Engine: From Data to Real‑Time Ranking
Architect
Architect
Jul 12, 2015 · Backend Development

Evolution and Architecture of Meituan's Supply Chain System

The article describes Meituan's supply chain platform evolution from a manual, low‑volume system to a highly automated, multi‑business supporting architecture, detailing its stages, modular product center design, and the platform‑plus‑differentiation approach that enables rapid scaling across various services.

MeituanSupply Chainbackend-development
0 likes · 11 min read
Evolution and Architecture of Meituan's Supply Chain System
Meituan Technology Team
Meituan Technology Team
Mar 10, 2015 · Operations

Meituan Automated Build System: Docker‑Based CI/CD

Meituan’s new Docker‑based automated build system isolates each build in lightweight containers, using YAML‑defined images to compile code, preprocess assets, and package artifacts, which speeds builds, eliminates environment conflicts, and delivers pre‑built packages for faster, more reliable releases across the platform.

Automated BuildContainerizationDocker
0 likes · 7 min read
Meituan Automated Build System: Docker‑Based CI/CD
Meituan Technology Team
Meituan Technology Team
Feb 15, 2015 · Artificial Intelligence

Machine Learning InAction Series: Practical Applications in Industry

This article outlines how Meituan applies machine learning to industrial challenges by detailing the full workflow—from problem modeling and data preparation to feature engineering, model training with algorithms like Logistic Regression and GBDT, and optimization techniques that address underfitting and overfitting for large‑scale deployment.

Industrial ApplicationsMeituanModel Training
0 likes · 15 min read
Machine Learning InAction Series: Practical Applications in Industry
Meituan Technology Team
Meituan Technology Team
Jan 31, 2015 · Artificial Intelligence

Meituan Recommendation System Architecture and Optimization Practices

Meituan’s recommendation platform comprises a data layer, a multi‑strategy candidate generation layer, a fusion‑and‑filtering layer, and a ranking layer that uses additive‑grove tree ensembles and online‑updated logistic regression, leveraging extensive user behavior logs, location, query, graph and real‑time signals to deliver personalized deals.

Meituanmachine learningpersonalization
0 likes · 14 min read
Meituan Recommendation System Architecture and Optimization Practices
Meituan Technology Team
Meituan Technology Team
Jan 18, 2015 · Industry Insights

Why Resource Efficiency Beats Pure Tech in the Next Internet Wave

The article argues that improving the utilization of existing resources—through smarter organization, shared‑economy models and internet‑enabled coordination—creates far greater value than merely swapping technologies, using cinema, automotive and Meituan examples to illustrate this insight.

Business ModelMeituanResource Efficiency
0 likes · 9 min read
Why Resource Efficiency Beats Pure Tech in the Next Internet Wave
Meituan Technology Team
Meituan Technology Team
Nov 26, 2014 · Operations

Meituan’s O2O Growth Strategy and Organizational Management

Meituan’s rapid O2O expansion hinges on a disciplined, data‑driven ground‑sales force that first conquers suburban districts before encircling city centers, leveraging aggressive incentives, real‑time IT tools, and strategic partnerships to wrest market share from rivals like Dianping while building a comprehensive ecosystem.

Business strategyGrowthManagement
0 likes · 13 min read
Meituan’s O2O Growth Strategy and Organizational Management