How Tripadvisor Delivers Real-Time Personalization at Scale with ML

This story was originally published on HackerNoon at: https://hackernoon.com/how-tripadvisor-delivers-real-time-personalization-at-scale-with-ml.

Explore how Tripadvisor uses ScyllaDB, AWS, and ML models to deliver real-time personalization at scale, serving 400M+ visitors with millisecond latency.

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Tripadvisor personalizes user experiences in real time for 400M+ visitors each month using ScyllaDB on AWS, microservices, and advanced ML models. Its Visitor Platform processes over 2B daily requests with sub-3ms latencies. A mix of static and dynamic user features, streaming pipelines, and A/B tested models ensures highly relevant travel recommendations.