@article{klioutchnikov2020financial,
  title = {Financial Intermediary Recommender Systems},
  author = {Igor K.  KLIOUTCHNIKOV and Oleg. I. KLIUCHNIKOV and Olga A. MOLCHANOVA},
  year = 2020,
  url = {https://ibimapublishing.com/articles/JEERBE/2020/182034/},
  journal = {Journal of Eastern Europe Research in Business and Economics},
  volume = 2020,
  pages = 21,
  doi = 10.5171/2020.182034,
  abstract = {Financial institution recommendation systems are being developed as big data applications. They solve specific problems; in particular, they give a clear idea of ​​the available financial services for specific users, and participate in decision-making by financial intermediaries. However, the role and purpose of recommender systems are not limited to their technical and informational characteristics. They play an important role in the management strategy of financial intermediaries, as well as in the credit culture and financial behavior of netizens. Modern recommender systems can be described as an intelligent and experienced financial "manager" who is knowledgeable about the financial condition, needs and habits of clients. Based on this knowledge, the systems propose reasonable solutions, and the customer can follow them. This paper proposes a framework that provides an understanding of the key topics related to financial services recommendation modeling in terms of restructuring the management of financial intermediation and its communication channels with customers, as well as the development of information filtering in the financial intermediary-client system. Approaches to the definition of the utility function of recommendation systems of financial intermediaries are examined. Also, the document identifies some important open issues that require further study.},
  keywords = {Recommender Systems, Digital-Finance, Information Filtering, Financial Intermediation Management.},
  note = Article ID: 182034
}