I am trying to build a recommender system that predicts an output class which is categorical in nature. I have implemented the same for the movie ratings database where I convert the dataset into a matrix with the rows representing user id, columns representing movie ids and values are ratings.
The problem I face is useing multiclass output labels, I want to understand how can I use the matrix after one hot encoding the variables? Will I need to create two separate matrices?