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. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #tripadvisor-personalization , #scylladb-aws , #real-time-ml-models , #visitor-platform , #data-engineering , #microservices-architecture , #travel-recommendations , #good-company , and more. This story was written by: @scylladb . Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com . 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.