Travel Industry

DataFunTalk

Mar 13, 2024 · Artificial Intelligence

Exploring and Practicing Large Models at Ctrip

This presentation by Ctrip algorithm expert Wei Peng details the rapid development of large language models, their core capabilities, and practical applications in the travel industry, covering content marketing, multimodal interactions, customer service efficiency, model comparisons, fine‑tuning, and inference performance optimization.

AI applicationsPerformance OptimizationTravel Industry

0 likes · 3 min read

Exploring and Practicing Large Models at Ctrip

DataFunTalk

Apr 1, 2023 · Artificial Intelligence

Real-Time User Understanding Service (RTUS) for Travel: Architecture, Algorithms, and Experimental Evaluation

This article presents the design and implementation of the Real‑Time User Understanding Service (RTUS) for the Fliggy travel platform, detailing its architecture, multi‑chain data fusion, model and data reuse techniques, and several AI‑driven algorithms for cold‑start interest representation, intent prediction, and destination forecasting, together with extensive offline and online experimental results.

AIIntent PredictionTravel Industry

0 likes · 21 min read

Real-Time User Understanding Service (RTUS) for Travel: Architecture, Algorithms, and Experimental Evaluation

DataFunTalk

Oct 21, 2021 · Artificial Intelligence

Exploration of Alibaba's Feizhu Recommendation Algorithms and Full‑Space CVR Estimation Models (ESMM, ESM², HM³)

This article presents a comprehensive overview of Alibaba's recommendation algorithm practice for the Feizhu travel platform, covering the evolution of e‑commerce recommendation frameworks, full‑space CVR estimation models such as ESMM, ESM² and HM³, and the specific challenges and solutions for travel‑centric recommendation scenarios.

AlibabaCVR estimationFull‑Space Modeling

0 likes · 25 min read

Exploration of Alibaba's Feizhu Recommendation Algorithms and Full‑Space CVR Estimation Models (ESMM, ESM², HM³)

Ctrip Technology

Jun 8, 2016 · Mobile Development

Ctrip's Mobile-First Transformation: 500 Weekly Innovations and Rapid Tech Scaling

The article examines how Ctrip shifted from a traditional OTA to a mobile-first travel platform, achieving 500 weekly innovations over three years, expanding its mobile share to over 75%, and rapidly scaling its engineering team to support complex mobile services.

CtripDigital InnovationProduct Development

0 likes · 7 min read

Ctrip's Mobile-First Transformation: 500 Weekly Innovations and Rapid Tech Scaling