[HTML][HTML] How can Artificial Intelligence (AI) be used to manage Customer Lifetime Value (CLV)—A systematic literature review

EB Firmansyah, MR Machado, JLR Moreira - International Journal of …, 2024 - Elsevier
Abstract Customer Lifetime Value (CLV) represents the total worth of a customer to a
company over time, aiding businesses in resource allocation and tailored marketing for …

Classification methods applied to credit scoring: Systematic review and overall comparison

F Louzada, A Ara, GB Fernandes - Surveys in Operations Research and …, 2016 - Elsevier
The need for controlling and effectively managing credit risk has led financial institutions to
excel in improving techniques designed for this purpose, resulting in the development of …

The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending

C Serrano-Cinca, B Gutiérrez-Nieto - Decision Support Systems, 2016 - Elsevier
This study goes beyond peer-to-peer (P2P) lending credit scoring systems by proposing a
profit scoring. Credit scoring systems estimate loan default probability. Although failed …

Wide and deep learning for peer-to-peer lending

K Bastani, E Asgari, H Namavari - Expert Systems with Applications, 2019 - Elsevier
This paper proposes a two-stage scoring approach to help lenders decide their fund
allocations in peer-to-peer (P2P) lending market. The existing scoring approaches focus on …

Loan evaluation in P2P lending based on random forest optimized by genetic algorithm with profit score

X Ye, L Dong, D Ma - Electronic Commerce Research and Applications, 2018 - Elsevier
Loan evaluation is an effective method for credit risk assessment in peer-to-peer (P2P)
lending and significantly affects lender investment decisions as well as his/her profits …

Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry

MR Machado, S Karray - Electronic Commerce Research and Applications, 2022 - Elsevier
Abstract A Peer-to-Peer (P2P) service is a decentralized platform that directly connects
individuals, buyers (lenders) and sellers (investors) without the intermediation of a third …

[HTML][HTML] Estimating credit and profit scoring of a Brazilian credit union with logistic regression and machine-learning techniques

DAV Paula, R Artes, F Ayres… - RAUSP Management …, 2019 - SciELO Brasil
Purpose Although credit unions are nonprofit organizations, their objectives depend on the
efficient management of their resources and credit risk aligned with the principles of the …

A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection

K Coussement, DF Benoit, M Antioco - Decision Support Systems, 2015 - Elsevier
Interest in the use of (big) company data and data-mining models to guide decisions
exploded in recent years. In many domains there are human experts whose knowledge is …

[HTML][HTML] Exposure at default models with and without the credit conversion factor

ENC Tong, C Mues, I Brown, LC Thomas - European Journal of Operational …, 2016 - Elsevier
Abstract The Basel II and III Accords allow banks to calculate regulatory capital using their
own internally developed models under the advanced internal ratings-based approach …

[PDF][PDF] Credit risk assessment in P2P lending using LightGBM and particle swarm optimization

Y Dasril, MA Muslim, MF Al Hakim… - Register: Jurnal …, 2023 - test.journal.unipdu.ac.id
The credit risk evaluation is a vital task in the P2P Lending platform. An effective credit risk
assessment method in a P2P lending platform can significantly influence investors' …