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 . Tripadvisor uses ML and ScyllaDB on AWS to deliver real-time personalization at massive scale with millisecond latency and advanced data architecture. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #tripadvisor-personalization , #real-time-ml , #scylladb-aws , #machine-learning-architecture , #ml-feature-store , #cassandra-migration , #kubernetes-microservices , #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 delivers real-time personalization to over 400M monthly users using ML models powered by ScyllaDB on AWS. Their Visitor Platform processes billions of daily requests with millisecond latency, leveraging a custom feature store, Kubernetes microservices, and data pipelines. Migrating from Cassandra to ScyllaDB boosted performance and reduced operational overhead.