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:
<iframe title="How Go and Neo4j enabled the FT to Deliver at Speed - Dan Murphy, Financial Times" width="640" height="360" src="https://www.youtube.com/embed/k47aC01Uy64?list=PL9Hl4pk2FsvWROJKLzm7LMw1AhYg_Kf_i" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>