ANT380-P: How Zappos uses AWS services for near-real-time search optimization - a podcast by AWS

This presentation was recorded prior to re:Invent. In this session, learn how Zappos developed an end-to-end machine learning (ML) platform leveraging AWS analytics. The engine is made up of a real-time event ingestion system that relies heavily on Amazon Kinesis Data Firehose, Amazon Redshift, and AWS Lambda. Learn about the system, how it was built, and how it feeds into various ML algorithms. Finally, learn how it powers a myriad of features on the Zappos website, including near-real-time search optimization and size recommendations.

Further episodes of AWS re:Invent 2019

Further podcasts by AWS

Website of AWS