Building a Real-Time Recommendation Engine with Data Science

By Nicole White, Data Scientist | August 17, 2016  Editor’s Note: This presentation was given by Nicole White at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: What we’re going to be talking about today is data science and graph recommendations:I’ve been with Neo4j for two years now, but have been working with Neo4j and Cypherfor three. I discovered this particular graph database when I was a grad student at the University of Texas Austin studying for a masters in statistics with a focus on on social networks.Real-time recommendation engines are one of the most common use cases for Neo4j, and one of the things that makes it so powerful and easy to use. To explore this, I’ll explain how to incorporate statistical methods…


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