Structuring Algorithms of Recommender Systems Used in the Financial Sphere

EasyChair Preprint 9076

Abstract

The purpose of the paper is to study the structuring of algorithmization processes of recommendation systems used in the financial sphere, in particular, in banks and credit unions when making a decision on issuing money to a borrower.

The relevance of this topic is due to the fact that recommender systems cannot be based on information, which is mostly used for systems that allow the user of information to choose a book or a movie, so it is difficult to agree with the statement [1] about the similarity of such systems with recommendations for books, movies, and goods. In the latter, preference is usually given to user preferences [2]. When the process of making a decision on issuing a loan is carried out, the emphasis shifts to the person and the problem that has arisen [3].

Keyphrases: Algorithms, Data Analytic, Recommender System

@booklet{EasyChair:9076,
  author    = {Oleksii Kuprin},
  title     = {Structuring Algorithms of Recommender Systems Used in the Financial Sphere},
  howpublished = {EasyChair Preprint 9076},
  year      = {EasyChair, 2022}}