Much of the content we consume and the purchases we make are silently guided by recommendation engines. Obvious examples are Amazon, Netflix, Spotify and Apple Music although there are many more besides.

 

A recommendation engine can be the difference between profit and loss or your continuing to remain engaged with content aggregation platforms such as Medium or Pinterest.

 

In this talk we explore the impact that recommendations have, how recommendation engines work, how you might implement one and how a high performance database can help.