
#3: Bandits and Simulators for Recommenders with Olivier Jeunen
Recsperts - Recommender Systems Experts
The Benefits of Banded Learning for YouTube
The lower your action space or the lower correspondingly your corpus is, the less lesser data you need. And of course if it grows too big, then you need to apply some certain additional methods because having that probability distribution over millions or tenths of millions of items is just not feasible. The main trick I think is really going to be to do some sort of variance penalization. So these both things are kind of contributing to each other.
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