Specifically, the objective function is modified such that we drop the sum of the square errors involving R and the regularizer on A. PMF-UA: In this degenerate version of the model, we use only the user-aspect opinion matrix to learn the latent factor representation.
the objective function is modified such that we drop the sum of the square errors involving S. In this section, we present our experiments that evaluate our model.