Graph recommender engine

Anybody have resources on how to build a recommend-er engine based on shows watched by a user, running on neo4j ( or any graph database ).

Using some APOC graph algorithms or any ML models

I would really appreciate this.

The welcome tutorial when you first launch Neo4j Desktop has a sample movie database with sample queries that recommend actors to work with other actors. Should be easy enough to adapt that tutorial to your desires.

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