As mentioned earlier, the application we will be creating is for music prediction. Given a UserID, MusicID, and a rating, the algorithm will use that data to create recommendations. As with other applications, this is not meant to power the next Spotifyesque machine learning product; however, it will show you how to use matrix factorization in ML.NET.
As with previous chapters, the completed project code, sample dataset, and project files can be downloaded here: https://github.com/PacktPublishing/Hands-On-Machine-Learning-With-ML.NET/tree/master/chapter07.
Exploring the project architecture
Building on the project architecture and code we created in previous chapters, the bulk of the changes are in the training of the model, as matrix factorization requires a fairly significant paradigm shift from what we have reviewed in previous chapters.
In the following screenshot, you will find the Visual Studio Solution Explorer view of the project. The...
