One major application of our approach is to improve the recom-mendation quality in the target service using auxiliary data obtained from another seemingly irrelevant service.
first, the topic vectors and the user latent factors are not required to have equal dimensionalities, which allows for the optimal dimensionality to be chosen in both models.