This repository contains worked examples for applying Neo4j Graph Data Science to recommendation problems.
Each subdirectory contains its own analytical workflow and worked example (or collection of worked examples).
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news-recomendation-mind
provides examples for applying graph data science to news content recommendation. Uses the MIcrosoft News Dataset (MIND). -
product-recomendation-hm
provides examples for applying graph data science to retail product recommendation. Uses the H&M Personalized Fashion Recommendations Dataset.