Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recommender Systems for the Internet of Things: A Survey   Recommendation represents a vital stage in developing and promoting the
benefits of the Internet of Things (IoT). Traditional recommender systems fail
to exploit ever-growing, dynamic, and heterogeneous IoT data. This paper
presents a comprehensive review of the state-of-the-art recommender systems, as
well as related techniques and application in the vibrant field of IoT. We
discuss several limitations of applying recommendation systems to IoT and
propose a reference framework for comparing existing studies to guide future
research and practices.

11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex