Neo4j Live: Building a recommendation engine with a Neo4j Graph Data Science ML Pipeline

Neo4j Live
  • Length: 44 min
  • 4,551 views

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.

Graph Data Science