flight search | BestHub

DataFunTalk

Jun 18, 2021 · Artificial Intelligence

Splicing Recall for Flight Ticket Search: Challenges, Algorithmic Solutions, and Online Impact

This article presents the technical exploration of splicing recall in flight ticket search at Alibaba's Fliggy, detailing the background, challenges, constrained routing and machine‑learning algorithms, the four‑step solution pipeline, and the resulting improvements in ticket availability and conversion rates.

Machine Learningflight searchrecommendation system

0 likes · 13 min read

Splicing Recall for Flight Ticket Search: Challenges, Algorithmic Solutions, and Online Impact

Tencent Cloud Developer

Apr 26, 2020 · Backend Development

Design and Evolution of Ctrip Flight Search System: High‑Throughput Caching, Real‑Time Computing, Load Balancing and AI

Ctrip’s flight search service processes two billion daily queries by employing a multi‑level Redis cache, machine‑learning‑driven TTLs, distributed pooling and overload protection, AI‑based anti‑scraping, and robust load‑balancing across three data centers, delivering sub‑second latency, up to three‑fold throughput gains and significant cost reductions.

AICachingdistributed systems

0 likes · 23 min read

Design and Evolution of Ctrip Flight Search System: High‑Throughput Caching, Real‑Time Computing, Load Balancing and AI

Qunar Tech Salon

Nov 29, 2017 · Backend Development

Optimizing the Pricing Engine for High‑Volume Flight Search: Hash Sharding, Caching, and Response‑Time Improvements

This article explains how Qunar's international ticket pricing engine was optimized by redesigning hash rules for sharding, enhancing local cache replication, employing multi‑stage result delivery, and applying common distributed‑system patterns to boost computational capacity and reduce response latency for massive flight‑search workloads.

CachingPerformance OptimizationSharding

0 likes · 8 min read

Optimizing the Pricing Engine for High‑Volume Flight Search: Hash Sharding, Caching, and Response‑Time Improvements

Qunar Tech Salon

Oct 25, 2017 · Backend Development

Design and Optimization of a High‑Performance Flight Search and Pricing System

This article outlines the design, challenges, and performance optimizations of a large‑scale flight search and pricing platform, covering system requirements, architecture layers, caching strategies, indexing, real‑time data synchronization, memory reduction techniques, and high‑availability solutions to handle massive, low‑latency queries.

CachingHigh AvailabilityPerformance Optimization

0 likes · 19 min read