Building a recommendation engine: A worked example

In this session we'll build a recommendation engine from scratch while paying particular attention to the modelling choices made along the way.

Our solution will be a hybrid which makes uses of both content based and collaborative filtering and we'll be covering the following topics...

• How do I know what nodes to create?
• How should I be naming relationships?
• Are my relationships too specific? Are they too generic?
• How can I tell if I've got hidden nodes in my model?
• How do I deal with time?
• How do I evolve the model as new requirements come in?

...and any other modelling questions you have!