The model we propose, attr2vec, employs a matrix factorization model based on factorization machines.
we associate with each variable v ∈ V a bias term b v ∈ R and a latent factor vector f v ∈ R d , where the dimensionality d of the latent factor space is a hyperparameter of the model.