[omernev]

I remember reading this article. We do a few things differently, though we try to take what we can from existing literature:

1. They actively ask questions. We use the natural product placement in stores as our "questions". This means a lot of consideration for whether a user has even seen this product and page placement.

2. Another consideration that arises from using natural product placement is that we don't have a "stopping rule". We always need to balance the need to convert into a sale on this page with learning for the next one.

3. One more thins is: We absolutely need to use what they call "complex decision heuristics". Even what they describe there as examples of complex heuristics are sometimes insufficient to describe user behavior in our data.

TLDR: Most of the basic concepts are shared (which probably makes sense), but our usage means a lot of small things are different and some of them are quite interesting research projects in themselves...