This project builds a movie recommendation system using Neo4j and the OMDb API. It prepares a movie graph, computes similarity scores, and generates recommendations using Louvain and K-Means clustering. The data is exported to RDF format and validated with SPARQL queries.
python api docker neo4j graph nosql sparql rdf clustering kmeans louvain-algorithm virtuoso-opensource elale
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Updated
Dec 23, 2024 - Python