Session Details

Building a Real Time Recommendation Engine with Neo4j  

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Build a real time recommendation engine from the ground up using the Neo4j graph database and Cypher, the query language for graphs. Using a real life data set combined with a content-based and collaborative filtering to develop a multi faceted recommendation application. This training also covers how to make modeling decisions based on the types of questions being asked of the data and how to optimize your model and queries for maximum performance.

The Speaker(s)


Kevin Van Gundy

Slides Located Here: Kevin is a a graph enthusiast who thrives at distilling complex technical domains into clear and actionable information for executives, entrepreneurs, and developers alike. This will be Kevin's second time teaching at SVCC. When he's not building cool and interesting graph projects, he's mountain biking somewhere in the hills of the Peninsula.
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