Would you be open to have a discussion about FAANG-scale recommender systems? I have a small website that could heavily profit such a recommender system. With 200k daily visitors there should be enough data to train a model, but our current implementation sucks and barely beats random.
Not the person you're asking, but i'm curious what your current approach is. In my first job (ecommerce site) I built a (very slow) recommendation system based on k-means clustering and it did a pretty good job of clustering customers based on interest and suggesting products, definitely better than random.
Building it today would be much faster because there are actually proper libraries/programs for doing this, rather than my inefficient vanilla Python implementation.
If yes, how can I contact you? Twitter?