neo4j-product-examples / ds-recommendation-use-cases

Graph Data Science and Machine Learning for Recommendation Systems

Graph Data Science and ML for Recommendation Systems

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).

• 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.