Official Ctrip Technology account, sharing and discussing growth.
This article summarizes Quincy Qu's COLING 2025 industry‑track paper that proposes a three‑stage multi‑task LLM framework for large‑scale NLP services, achieving performance comparable to single‑task models while reducing overall service cost by up to 90.9%.
This article details Ctrip Business Travel’s implementation of a near‑real‑time data warehouse and lakehouse using Flink CDC and Apache Paimon, covering order wide‑table construction, automated ticket reminders, ad attribution, batch‑stream integration, and lessons on Partial Update, Aggregation, and Tag‑based incremental processing.
This article explains how an AIGC‑driven solution uses large language models, prompt engineering, and a layered architecture built on Flask and LangChain to automatically transform product requirement documents into structured, BDD‑style test cases, achieving 89% adoption and up to 70% time reduction.
Leveraging multimodal large‑model AI, this article outlines a four‑stage evolution from text‑based UI element identification to fully autonomous, end‑to‑end generation of executable UI automation scripts, detailing system architecture, intelligent reasoning engine, and real‑world Ctrip hotel refund test case results.
This article explores how Ctrip leverages advanced AI techniques—including named entity recognition, entity linking, large language models, and vector search—to replace traditional keyword queries with semantic search, dramatically improving hotel recommendation accuracy and user experience.
This article examines Ctrip's Hetu visual event‑tracking system, comparing it with traditional code‑based tracking, detailing its architecture, SDK modes, configuration workflow, and best‑practice implementations that improve efficiency, reduce coupling, and enhance data reliability across web, app, and mini‑program platforms.
This article presents Ctrip’s novel non‑user AB testing split algorithm that combines optimized random sampling, greedy exchange, and graph‑based community detection to achieve balanced metric distribution, reduce user traffic cross‑over, and dramatically improve split efficiency in real‑world hotel marketing experiments.
This article introduces Skip, a new high‑performance native cross‑platform framework that converts Swift/SwiftUI code to Kotlin/Jetpack Compose, detailing its architecture, toolchain, usage steps, code examples, comparisons with other frameworks, project structure, internal modules, and practical considerations for mobile developers.
This article presents Ctrip's enterprise-grade Server-Sent Events (SSE) solution for its flight booking frontend, detailing the technology overview, use cases, implementation practices, performance considerations, comparison with alternatives, and full‑stack integration across link, framework, and data layers.
This article details how Ctrip's Soft Load Balancer (SLB) transitioned from a simple Nginx reverse‑proxy to a multi‑datacenter, dynamic routing gateway using OpenResty, Lua scripts, and a three‑layer architecture that eliminates reloads and supports high‑frequency configuration updates.
