Personalized recommendations drive business, helping people find the products they want, the news they need, and the music they didn’t know they would love. Despite the obvious advantages (10-30% engagement and revenue increases are common) many companies either don’t have recommendations or don’t leverage their data to make good ones. Too many recommendation engines are black-box algorithms that are hard to change, don’t scale well, or can’t incorporate important signals and data sources. This webinar will cover how Mortar Data builds open-source recommendation engines using a mix of AWS services (EMR, DynamoDB) and open technologies (Hadoop, Java, Python, Luigi) to run at scale at startups and Fortune 500 companies. We will show you how to use the same open-source projects and technologies to quickly build a custom recommender at your company.
AWS Webcast – Building, Deploying, and Operating a Custom Engine
