With anomaly detection models behind us, it is now time to dive into matrix factorization models. Matrix factorization is one of the newer additions to ML.NET, with a transform of the same name. In this chapter, we will dive into matrix factorization, as well as the various applications best suited to utilizing matrix factorization. In addition, we will build a new sample application to predict music recommendations based on the sample training data. Finally, we will explore how to evaluate a matrix factorization model with the properties that ML.NET exposes.
In this chapter, we will cover the following topics:
- Breaking down matrix factorizations
- Creating a matrix factorization application
- Evaluating a matrix factorization model
