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.
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.