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

17 Aug, 2022



Guest: Philip Brunenberg Blog: https://philipp-brunenberg.de/ Twitter: https://twitter.com/p_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. Follow-Up: Blog Post: https://medium.com/@philipp.brunenberg/understanding-neo4j-gds-link-predictions-with-demonstration-9b96eec89efb Video: https://youtu.be/kq_b0QmxFCI

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