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This talk covers fundamentals of recommendation systems and how to build one using DataStax Enterprise Graph. We discuss content-based, collaborative filtering and hybrid approaches to predictive modeling as well as possible design patterns for a real-time recommender service. Using DataStax Studio, we will walk through several examples of Gremlin recommender traversals, demonstrate how they work, and discuss their advantages and limitations.

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Speakers

Artem Chebotko

Solution Architect at DataStax