The most common recommendation engines we interact with daily involve social media (the people we may know), retail (the products we may like), and entertainment (the music, clips and/or movies presented next in our streams). Yet these are just the tip of the recommendation iceberg. When we look deeper into the inner workings of the Read the full article…

We all receive recommendations daily. From the products that we should be buying to the movies we should be watching to the people we should be dating…the list goes on. You’re capable of recommending just about anything — as long as you have the right data in place. Graph databases are naturally well-suited for building Read the full article…