Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using a Language Model in a Kiosk Recommender System at Fast-Food
  Restaurants   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.

33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg