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

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

Graph & Beyond The Second Course #2.7: Recommendation Demo on Oasis

For this lunch session, we recommend leaving your head in the clouds 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 great recommendations with the built-in ArangoSearch features.

About the Presenter:

Chris has over ten years of experience in all technology angles, including service, support, and development. He is also passionate about learning, and right now, he is focused on improving the learning experience for the ArangoDB community. Chris believes the future is a native multi-model and wants to help tell the world.

Register for lunch break:

Christopher Woodward

Chris Woodward

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