At Artfinder, a global online marketplace for original art, the company has launched 'My Artfinder', a personalized recommendations system that uses Neo4j to provide users with daily artwork suggestions. The system was developed using collaborative filtering and graph databases, which proved to be more effective than traditional machine learning methods due to the complexity of artwork classifications. The use of Neo4j's Cypher query language simplified query construction and analysis, allowing for faster development and iteration. By optimizing queries and reducing cardinality of results, the system achieved significant improvements in performance, enabling thousands of users to receive relevant recommendations daily.