Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Microsoft Recommenders: Tools to Accelerate Developing Recommender
  Systems   The purpose of this work is to highlight the content of the Microsoft
Recommenders repository and show how it can be used to reduce the time involved
in developing recommender systems. The open source repository provides python
utilities to simplify common recommender-related data science work as well as
example Jupyter notebooks that demonstrate use of the algorithms and tools
under various environments.

4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph