Online Bayesian Collaborative Topic Regression

This is just a Python version of Online Bayesian Collaborative Topic Regression.

The original implementation by the authors is found here.

I was inspired to look at this after reading https://open.blogs.nytimes.com/2015/08/11/building-the-next-new-york-times-recommendation-engine/ and a paper it referenced, Collaborative Topic Modeling for Recommending Scientific Articles. A straightforward implementation of CTM can be found here.

For background, some related papers are:

Variational Inference: A Review

Online Learning for Latent Dirichlet Allocation

Stochastic Variational Inference

Additional notes and citations in the code.