Neo4j Live: Building a recommendation engine with a Neo4j Graph Data Science ML Pipeline
Play video on YouTube: Neo4j Live: Building a recommendation engine with a Neo4j Graph Data Science ML Pipeline
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Guest: Philip Brunenberg
This talk is of theoretical nature. Philip will explain how we can implement a recommendation engine using the Neo4j GDS library. We will dive into the details, which steps are required and how they work internally. We won't get the chance to do the implementation, but it is a good starting point to understand what each of the steps does.
Resources mentioned
Follow-Up
Graph Data Science





