Author

Meituan Technology Team

Over 10,000 engineers powering China’s leading lifestyle services e‑commerce platform. Supporting hundreds of millions of consumers, millions of merchants across 2,000+ industries. This is the public channel for the tech teams behind Meituan, Dianping, Meituan Waimai, Meituan Select, and related services.

658

Articles

Likes

2.2k

Views

Comments

Latest from Meituan Technology Team

100 recent articles max

Meituan Technology Team

May 9, 2024 · Backend Development

Evolution and Practice of Domain-Driven Design (DDD) in Meituan Dianping Transaction System

The article recounts Meituan Dianping’s transaction system evolution—from a simple MVC design to microservices and a plug‑in platform—illustrating how domain‑driven design’s ubiquitous language, bounded contexts, and strategic modeling guided the separation of core, supporting, and generic domains and enabled scalable, maintainable architecture.

architecture evolutionbackend developmentdomain-driven design

0 likes · 20 min read

Evolution and Practice of Domain-Driven Design (DDD) in Meituan Dianping Transaction System

Meituan Technology Team

Apr 11, 2024 · Artificial Intelligence

GPU-Accelerated Mixed Vector-Scalar Retrieval System for Meituan Takeaway Search

Meituan Waimai’s search team built a GPU‑accelerated, mixed vector‑and‑scalar retrieval engine that supports billions of items, achieving over 99% recall and up to 89% latency reduction by combining pre‑filtering, optimized data layouts, multi‑GPU parallelism, and FP16 precision.

ANNFAISSGPU

0 likes · 20 min read

GPU-Accelerated Mixed Vector-Scalar Retrieval System for Meituan Takeaway Search

Meituan Technology Team

Mar 28, 2024 · Artificial Intelligence

Large-Scale Heterogeneous Graph Modeling and GraphET Engine for Meituan Food Delivery Search Advertising

The paper describes how Meituan’s food‑delivery search advertising uses a heterogeneous billion‑node graph and the GraphET engine to boost weak‑supply recall, detailing a progression from fine‑grained modeling to GPT‑enhanced pre‑training, and presenting a scalable training and low‑latency inference architecture that handles hundreds of billions of edges.

GraphETLarge-Scale GraphMeituan

0 likes · 27 min read

Large-Scale Heterogeneous Graph Modeling and GraphET Engine for Meituan Food Delivery Search Advertising

Meituan Technology Team

Mar 21, 2024 · Artificial Intelligence

Algorithmic Practices for Meituan's Content Intelligent Distribution

This article outlines Meituan’s end‑to‑end content‑intelligent distribution pipeline, detailing challenges of massive multimodal search, supply labeling, semantic and personalized recall, multi‑objective ranking with distillation and MMoE/PPNet, heterogeneous mixing, and future plans for automated detection and large‑language‑model integration.

AISearch Optimizationcontent search

0 likes · 17 min read

Algorithmic Practices for Meituan's Content Intelligent Distribution

Meituan Technology Team

Mar 14, 2024 · Databases

Meituan Large‑Scale KV Storage: Challenges and Architectural Practices

The article details Meituan’s evolution of KV storage, analyzes scalability and availability challenges of both in‑memory (Squirrel) and persistent (Cellar) systems, and presents concrete architectural solutions such as gossip optimization, fork‑less RDB, multi‑threading, bulkload, and cross‑region disaster recovery, while outlining future directions like Zookeeper removal and vector engine support.

CellarConflict ResolutionKV storage

0 likes · 34 min read

Meituan Large‑Scale KV Storage: Challenges and Architectural Practices

Meituan Technology Team

Feb 29, 2024 · Mobile Development

Meituan Technical Salon #77: Client‑Side Robustness Testing via Interface Data Mutation for Billion‑Traffic Systems

Meituan’s Technical Salon #77 presented a client‑side robustness testing framework that mutates API responses using semantic rules, injects them via a proxy, and detects crashes or hangs through static code scans and dynamic monitoring, employing array‑deduplication techniques to cut test volume while maintaining coverage, now deployed in Meituan and Youxuan apps.

Robustnessclient-side qualitydata mutation

0 likes · 15 min read

Meituan Technical Salon #77: Client‑Side Robustness Testing via Interface Data Mutation for Billion‑Traffic Systems

Meituan Technology Team

Jan 25, 2024 · Artificial Intelligence

Design and Implementation of a Distributed Causal Forest Framework on Meituan's Fulfillment Platform

Meituan’s Fulfillment Platform team built a high‑performance distributed causal‑forest framework—named Causal On Spark—that trains hundreds of trees on hundreds of millions of samples within minutes using MapReduce‑based histogram splitting, extensive memory optimizations, Parquet model serving, and novel distributed evaluation metrics, enabling scalable causal inference for pricing, subsidies, and marketing.

Sparkcausal forestcausal inference

0 likes · 23 min read

Design and Implementation of a Distributed Causal Forest Framework on Meituan's Fulfillment Platform

Meituan Technology Team

Jan 18, 2024 · Information Security

Meituan Java RASP: Architecture, Challenges, and Performance Optimizations

The article details Meituan's large‑scale RASP (Runtime Application Self‑Protection) rollout, covering deployment challenges such as heterogeneous Java environments, performance impact of agent injection, upgrade difficulties, monitoring complexities, and the engineering solutions—including agentmain/premain hybrid loading, gray‑scale upgrades, hot‑update plugin architecture, and performance optimizations—validated with concrete metrics and benchmarks.

Gray DeploymentJava AgentRASP

0 likes · 31 min read

Meituan Java RASP: Architecture, Challenges, and Performance Optimizations

Meituan Technology Team

Jan 4, 2024 · Backend Development

Key Insights from the Meituan Robotics Institute Academic Annual Meeting on Embodied Intelligence and AI‑Driven Robotics

At the Meituan Robotics Institute’s 2023 academic annual meeting in Shenzhen, leading scholars highlighted embodied intelligence as a learning “child,” emphasized large‑scale models and big data as catalysts for advanced perception and control, identified logistics, manufacturing, elder‑care and scientific research as near‑term markets, and called for deeper industry‑academia collaboration to accelerate robot deployment and explore new applications.

Industry-Academia CollaborationLarge Modelsembodied intelligence

0 likes · 30 min read

Key Insights from the Meituan Robotics Institute Academic Annual Meeting on Embodied Intelligence and AI‑Driven Robotics