Neo4j and Go for Content Recommendations @ Financial Times – Interview with Dan Murphy

09 Aug, 2019

Bryce Merkl Sasaki of Neo4j interviews Dan Murphy, Senior Developer @ Financial Times, during Graph Connect Europe 2016. Dan talks about how they created a Recommendation Engine to give readers a richer experience by suggesting different content based on their reading habits. “It was quite an amazing experience,” says Dan. They migrated from a RDF triple store. Due to the use of Go and Neo4j, they were able to re-write about 12 months worth of work in about 3 months, a huge productivity gain. Dan also gave a full presentation on their work:

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