Artfinder deploys Neo4j graph database to personalise recommendations

Artfinder, the online marketplace for art, has revamped its home page with a recommendation engine powered by the Neo4j graph database to give art lovers personal recommendations on their home page.The three-year-old site for affordable art, which has 6,000 artists across 97 countries, and half a million users, wanted to present to customers works of art that matched their tastes. The business’s CTO David Tilleyshort said: “We’ve known we needed a recommendation engine for a long time. We had a basic version on our product pages to enable customers to see similar works of art.” But the site wanted to captivate customers in a way that presented art that suited their tastes. It initially looked at a classification system based on image processing to pull out relevant features in the…


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