RedisDays Available Now On-Demand.
You will also receive a link to this document at the email address you provided. Browse additional resources from our library of Case Studies, Benchmarks, and more!
Next generation user facing applications are expected to include a built-in recommendations engine that tells the user what they're likely to "like," "purchase" or "read" next. Redis, the popular open source, in-memory database known for its in-database analytic capability, and Go, an open source programming language that makes it easy to build reliable and efficient software, combine to deliver a simple, high performance recommendation engine , with minimal complexity that doesn’t require many system resources.
This paper outlines the algorithm and code necessary to implement a collaborative filtering algorithm that generates recommendations with simplicity and high performance.
By continuing to use this site, you consent to our updated privacy agreement. You can change your cookie settings at any time but parts of our site will not function correctly without them.