Design Principles and Architecture Evolution of Ctrip Business Travel Order System

The article details Ctrip Business Travel's order system architecture, outlining its background, challenges of the original vertical‑only design, and the layered, process‑driven, and snapshot design principles that guide its evolution toward modular backend services, data consolidation, configurable messaging, and service orchestration.

Backend ArchitectureMicroservicesService Orchestration

0 likes · 17 min read

Design Principles and Architecture Evolution of Ctrip Business Travel Order System

Ctrip Technology

Aug 21, 2018 · Backend Development

Evolution and Optimization of Ctrip's Vacation Price Engine (Engine 1.0 → 3.0)

This article describes how Ctrip's vacation price engine evolved from a single‑threaded 1.0 version to a highly parallel 3.0 version, detailing the business scope, core challenges, architectural redesigns, resource‑specific optimizations, and the resulting improvements in accuracy and computation speed.

Travel Technologybackend optimizationprice engine

0 likes · 13 min read

Evolution and Optimization of Ctrip's Vacation Price Engine (Engine 1.0 → 3.0)

Qunar Tech Salon

May 9, 2017 · Artificial Intelligence

Ctrip CTO Gan Quan on Building a Data‑Driven Personalized Recommendation System

The article details how Ctrip’s CTO Gan Quan has leveraged big‑data platforms, deep‑learning algorithms, cross‑screen user tracking, and rapid AB testing to create a real‑time, personalized recommendation engine that shortens travel decision cycles and drives significant revenue growth.

AB testingAIBig Data

0 likes · 14 min read

Ctrip CTO Gan Quan on Building a Data‑Driven Personalized Recommendation System

Ctrip Technology

Dec 2, 2016 · Artificial Intelligence

Ctrip’s Deep Learning Recommendation System Paper Accepted at AAAI Conference

Ctrip announced that its AI‑driven recommendation system paper, titled “A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems,” has been accepted by the prestigious AAAI conference, highlighting the company’s cutting‑edge deep‑learning techniques, large‑scale deployment, and broader AI innovations in travel services.

AAAICtripDeep Learning

0 likes · 5 min read

Ctrip’s Deep Learning Recommendation System Paper Accepted at AAAI Conference

21CTO

Dec 7, 2015 · R&D Management

How Tuniu’s CTO Revamped Travel Tech with Architecture, UX, and Team Culture

This article examines how Tuniu’s CTO leveraged architectural redesign, user‑experience enhancements, and a data‑driven team culture to build a scalable travel platform, automate packaging, and align technology with business goals in a fiercely competitive online tourism market.

CTOProduct ArchitectureTravel Technology

0 likes · 11 min read

How Tuniu’s CTO Revamped Travel Tech with Architecture, UX, and Team Culture