[sadikkapadia1]

It is hard to sell technology to companies when they have their own teams (often using free libraries). Embedded teams are always experts and will often discredit better technology. Often the only method of testing is A/B. These can easily be manipulated. For instance at Netflix (ignoring more blatant practices), P-hacking (run thousands of simulations and report ones that worked), and HARKing (come up with a hypothesis after the results are known) are rampant. That is part of the reason the recommender has been degrading over the years.

[prades]

> That is part of the reason the recommender has been degrading over the years.

Netflix is clearly promoting its original shows. Do you think your system is still in use now that they've moved to thumbs rating and percent match score?

[sadikkapadia1]

That is what I have been told. It is however clearly messed up.

[prades]

I feel for you. It must be a huge disappointment to see what they've done to your work. Netflix recommendation system used to be very good a few years ago.

[prades]

https://news.ycombinator.com/item?id=15607383

Amazing story! I don't know if it's true or if you're delusional, but I'm inclined to believe you as it would explain why Netflix recommendation system went downhill instead of improving.