r/MachineLearning - [D] A Deep Dive into Latent Dirichlet Allocation (LDA) and Its Applications on Recommender System

I love LDA but I'm a firm believer that it doesn't have many practical/successful applications in the real world I am actually published on a couple of papers regarding applying LDA at large scale, while working at a large company. It doesn't seem to be a super common approach, and it appears to be really easy to get it wrong. Coupled with the fact that there are other approaches that are about as good, numerically, well, yeah, not a lot of people bother. Doesn't mean it can't work. Anyhow- after we applied a few tricks, the coherence of the topics produced was much (qualitatively) better than clusters being produced by other standard clustering/co-clustering approaches, albeit quantitatively worse.