Build a real time recommendation engine from the ground up. Using a real life data set combined with a content-based and collaborative filtering to develop a multi faceted recommendation application.
This training also covers how to make modeling decisions based on the types of questions being asked of the data and how to optimize your model and queries for maximum performance.
- Introduction graph databases
- Introduction to modeling a real time recommendation engine with Graph databases
- How to optimize your model for maximum performance