travel technology

Ctrip Technology

Nov 5, 2021 · Backend Development

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.

Data ModelingMicroservicesbackend architecture

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.

Big Databackend optimizationdistributed systems

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.

AAAIArtificial IntelligenceCtrip

0 likes · 5 min read

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

Ctrip Technology

Jul 18, 2016 · Artificial Intelligence

Deep Learning Applications in Ctrip Travel Guide Community

This article reviews how Ctrip’s travel guide community leverages deep learning models such as CNN, LSTM, and RCNN for multilingual text analysis, image classification, video moderation, and data matching, and outlines future directions like knowledge graphs and virtual reality.

AI applicationsNatural Language Processingcomputer vision

0 likes · 6 min read

Deep Learning Applications in Ctrip Travel Guide Community

Ctrip Technology

Nov 24, 2015 · Mobile Development

Transformation from Call Center and Web to Mobile: Ctrip’s Journey and Technical Strategies

The article recounts Ctrip’s three‑year transition from a traditional call‑center and web‑based OTA to a mobile‑first travel platform, detailing statistical growth, product consolidation, open API initiatives, system decoupling, performance monitoring, and continuous reliability improvements.

CtripOpen APIPerformance Monitoring

0 likes · 4 min read

Transformation from Call Center and Web to Mobile: Ctrip’s Journey and Technical Strategies