Optimizing International Hotel Data Aggregation Algorithms at Qunar

The article outlines Qunar’s challenges in aggregating international hotel data, analyzes issues such as localized address formats and limited text similarity parsing, and presents a pattern‑matching and weighted scoring approach that improves aggregation accuracy across multiple countries.

Algorithm OptimizationData Integrationhotel aggregation

0 likes · 7 min read

Optimizing International Hotel Data Aggregation Algorithms at Qunar

Mafengwo Technology

Jan 16, 2020 · Artificial Intelligence

How Machine Learning Transforms Hotel Aggregation for Real‑Time Accurate Pricing

This article explains the evolution of hotel aggregation at Mafengwo, from simple cosine similarity matching to advanced machine‑learning pipelines using tokenization, feature engineering, and LightGBM models, highlighting challenges of accuracy and real‑time performance and presenting practical solutions.

Cosine SimilarityLightGBMfeature engineering

0 likes · 16 min read

How Machine Learning Transforms Hotel Aggregation for Real‑Time Accurate Pricing