Recommendations aren't really chosen by "experiments". And certainly, they aren't A/B testing budgeting and development of shows.

Recommendation engines can be improved with experiments. And they - along with budgeting and show development (at least at Netflix) - are "driven by big data".

Further, it doesn't matter if you - personally - like a feature. If that feature is moving the numbers and passes the A/B test, it will make itself into the app.

They run thousands of experiments. Of course there are going to be several that you - personally - do not like.