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06-13-2019 07:55 AM
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.
06-13-2019 08:05 AM
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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