Flight Search

Machine learning adjusts flight search results in real time as itineraries and schedules change.

Business impact

• Flight purchases — The team measures whether people bought more flights after receiving better search results.
• Average flight options shown per search — The article reports an average of 16,000 flight options shown in one Expedia.com search.

Data requirements

• Flight itineraries (tabular) — Used to keep search results current as itineraries change.
• Schedules (tabular) — Used to adapt results as flight times and availability change.
• Search result performance metrics (tabular) — Used to compare algorithm versions and assess whether better results increase purchases.

AI methods and techniques

• Machine learning — Used to adapt flight search results as itineraries and schedules change.
• Algorithm testing and tuning — Multiple versions and bias settings are compared to see which produces better result sets.

AI models and model families

Learning algorithms

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Expedia.