NTR Webinar: Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants

NTR organizes and hosts scientific webinars on neural networks and invites speakers from all over the world to present their recent work. 

On February 22 Eduard Zubchuk, NTR Labs, Tomsk, Russia, presented a technical Zoom webinar on Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants. 

About the webinar: 

Kiosks are a popular self-service option in many fast-food restaurants; they save time for the visitors and save labor for the fast-food chains. 

An effective design of a kiosk shopping cart recommender system is one that combines a language model as a vectorizer and a neural network-based classifier. 

The model performs better than other models in offline tests and exhibits performance comparable to the best models in A/B tests.

Slide deck link https://drive.google.com/file/d/1X1MxcSiU3N4meGjjOfswNghYeuvJ0zcF/view

Moderator and contact: NTR CEO Nick Mikhailovsky: nickm@ntrlab.com.

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