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

Eduard Zubchuk; Dmitry Menshikov; Nikolay Mikhaylovskiy

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

Artificial Intelligence 2022-02-10 v1 Information Retrieval

Authors: Eduard Zubchuk , Dmitry Menshikov , Nikolay Mikhaylovskiy

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.

Cite

@article{arxiv.2202.04145,
  title  = {Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants},
  author = {Eduard Zubchuk and Dmitry Menshikov and Nikolay Mikhaylovskiy},
  journal= {arXiv preprint arXiv:2202.04145},
  year   = {2022}
}

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