Hi all,

I’m working on a project where I’ve trained an autoencoder on a specific dataset (movie ratings). The hidden layer is a 256-length vector. I have another dataset of loosely related data (user demographics) that I’d like to combine with my encoding somehow to improve my model, though I’m not sure exactly how to implement this.

Do you guys know of any literature that attempts something similar? Any suggestions/criticisms would also be much appreciated.

Thanks