Recently I worked on a paper by Hao Wang, Collaborative Deep learning for Recommender Systems; which uses a two way tightly coupled method, Collaborative filtering for Item correlation and Stacked Denoising Autoencoders for the Optimization of the problem.
I want to know the limitations of using stacked Autoencoders and Hierarchical Bayesian methods to Recommender systems.
