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

February 08, 2022 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Eduard Zubchuk, Dmitry Menshikov, Nikolay Mikhaylovskiy arXiv ID 2202.04145 Category cs.AI: Artificial Intelligence Cross-listed cs.IR Citations 2 Venue arXiv.org Last Checked 4 months ago
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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