3min chapter

Recsperts - Recommender Systems Experts cover image

#3: Bandits and Simulators for Recommenders with Olivier Jeunen

Recsperts - Recommender Systems Experts

CHAPTER

How to Predict CTR Based on Offline Data

The main bottleneck really is that you need to have a decent representative sample of the action space. And so this is like the main reason why banded learning systems have not been adopted in a majority of cases. But building the stochastic policy to sample directly from a few millions of items, that works seldomly. You would need way too much data to actually get that working properly.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode