Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Systematic Review on Context-Aware Recommender Systems using Deep
  Learning and Embeddings   Recommender Systems are tools that improve how users find relevant
information in web systems, so they do not face too much information. In order
to generate better recommendations, the context of information should be used
in the recommendation process. Context-Aware Recommender Systems were created,
accomplishing state-of-the-art results and improving traditional recommender
systems. There are many approaches to build recommender systems, and two of the
most prominent advances in area have been the use of Embeddings to represent
the data in the recommender system, and the use of Deep Learning architectures
to generate the recommendations to the user. A systematic review adopts a
formal and systematic method to perform a bibliographic review, and it is used
to identify and evaluate all the research in certain area of study, by
analyzing the relevant research published. A systematic review was conducted to
understand how the Deep Learning and Embeddings techniques are being applied to
improve Context-Aware Recommender Systems. We summarized the architectures that
are used to create those and the domains that they are used.

21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph