Graph & Beyond Lunch Break #2.7: Recommendation Demo on Oasis - ArangoDB

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Graph & Beyond Lunch Break #2.7: Recommendation Demo on Oasis

We recommend leaving your head in the clouds for this lunch session as we go through our ArangoDB Oasis recommendation engine demo. Our ML developer relations engineer Chris Woodward will introduce you to ArangoFlix, a movie streaming site that shows an example of combining machine learning with a graph database. We show how to offer the most chill-worthy movies for your next watching session.

We cover five different recommendation methods, including GNNs, Matrix Factorization, Content-based ML, and Content-based AQL methods, including how to make excellent recommendations with the built-in ArangoSearch features.

Christopher Woodward

Chris Woodward

About the Presenter:

Chris has over ten years of experience at all technology angles, including service, support, and development. He continues his trend of being a versatile technologist at ArangoDB as a Developer Relations Engineer. Chris believes the future is a native multi-model and is determined to tell the world.

Learn More About Graph Databases

Read our latest Graph and Beyond  white paper to gain insights into how ArangoDB graph databases can support many use cases.
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