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#3: Bandits and Simulators for Recommenders with Olivier Jeunen

Recsperts - Recommender Systems Experts

CHAPTER

The Trade-Off Between Exploration and Not Showing Good Recommendations

When the weight is going to be zero, when we never actually showed certain items as a recommendation, we can never learn whether they would be good or not. So maybe sometimes it's better to have a very, very small weight. You might show it's like one in a million cases. And then suppose you might have made a wrong assumption, you will learn this. Like the signal will be in the data that there actually is a high CTR because many grown men basically have kids so it's a good recommendation to actually be showing these toys to them. But of course it's going to be a very hard problem because many items that have a very small probability of being sampled really are just

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