This example was created by the Neo4j Community Team to demonstrate the submission format.
Your project does not need to be this complex. Builders of all skill levels are encouraged to participate.
Movie Recommendation Graph
GraphAcademy Cup Team URL
GraphAcademy Public Profile Username
graphbuilder_usa
Country
United States
GraphAcademy Course Completed
Cypher Fundamentals
Project Name
Movie Recommendation Graph
Description
I built a simple movie recommendation graph using Neo4j to connect people, movies, genres, and ratings.
The goal was to explore how graph relationships can improve recommendations compared to traditional filtering methods.
What Did You Learn?
The Cypher Fundamentals course helped me understand:
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MATCH and WHERE clauses
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Pattern matching
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Relationship traversal
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Aggregation and ranking
I applied those concepts to find movies liked by users with similar preferences.
Screenshot
(Upload a screenshot of your graph visualization here.)
Repository / Demo Link (Optional)
https://github.com/example/movie-recommendation-graph
Additional Notes
One thing I found interesting was how easy it was to discover recommendations using only a few Cypher queries.
I would like to extend this project by adding actor and director relationships to improve recommendation quality.