Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Segmenting Bank Customers via RFM Model and Unsupervised Machine
  Learning   In recent years, one of the major challenges for financial institutions is
the retention of their customers using new methodologies of reliable and
profitable segmentation. In the field of banking, the approach of offering all
of the services to all the existing customers at the same time does not always
work. However, being aware of what to sell, when to sell and whom to sell makes
a huge difference in the conversion rate of the customers responding to new
services and buying new products. In this paper, we used RFM technique and
various clustering algorithms applied to the real customer data of one of the
largest private banks of Azerbaijan.

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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: econ
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The categories of this paper are: adap-org
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The categories of this paper are: eess
0
The categories of this paper are: hep-ph
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The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: supr-con
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The categories of this paper are: math
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The categories of this paper are: nucl-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: gr-qc
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The categories of this paper are: funct-an