Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Review of Clustering-Based Recommender Systems   Recommender systems are one of the most applied methods in machine learning
and find applications in many areas, ranging from economics to the Internet of
things. This article provides a general overview of modern approaches to
recommender system design using clustering as a preliminary step to improve
overall performance. Using clustering can address several known issues in
recommendation systems, including increasing the diversity, consistency, and
reliability of recommendations; the data sparsity of user-preference matrices;
and changes in user preferences over time. This work will be useful for both
beginners in the field of recommender systems and specialists in related fields
that are interested in examining the applicability of recommender systems. This
review is focused on the analysis of the scientific literature on the topics of
recommender systems and clustering models that have appeared in recent years
and contains a representative list of the literature for the further
exploration of this topic. In the first part, a brief introduction to the
so-called classic or traditional recommendation algorithms is given, along with
an overview of the clustering problem.

0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int