Reinforcement Learning for search - Changelog Master Feed...

What this episode covers

Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.Featuring:Hamish Ogilvy – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:SajariBlog post: “Reinforcement Learning Assisted Search Ranking”Blog post: “Query Understanding 101”Blog post: “The Inevitable Collision of Search and AI Tech”Special offer from Sajari for Changelog listenersUpcoming Events: Register for upcoming webinars here!

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How long is this episode of Changelog Master Feed?

This episode is 47 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on October 26, 2020.

What is this episode about?

Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen...

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Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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