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arXiv · 2202.04145

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

Eduard Zubchuk·Dmitry Menshikov·Nikolay Mikhaylovskiy
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Abstract

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. In this paper, we propose an effective design of a kiosk shopping cart recommender system 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/C tests.

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Eduard Zubchuk, Dmitry Menshikov, Nikolay Mikhaylovskiy. 2022-02-08. Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants. https://arxiv.org/abs/2202.04145

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