Emerging technologies and the democratisation of financial services: A metatriangulation of crowdfunding research

R Gleasure, J Feller - Information and Organization, 2016 - Elsevier
Crowdfunding has grown quickly and attracted significant scholarly attention. However, the
diverse approaches to crowdfunding that have emerged, as well as the uncertain …

P2P lending survey: Platforms, recent advances and prospects

H Zhao, Y Ge, Q Liu, G Wang, E Chen… - ACM Transactions on …, 2017 - dl.acm.org
P2P lending is an emerging Internet-based application where individuals can directly
borrow money from each other. The past decade has witnessed the rapid development and …

When words sweat: Identifying signals for loan default in the text of loan applications

O Netzer, A Lemaire… - Journal of Marketing …, 2019 - journals.sagepub.com
The authors present empirical evidence that borrowers, consciously or not, leave traces of
their intentions, circumstances, and personality traits in the text they write when applying for …

Predicting credit risk in peer-to-peer lending: A neural network approach

A Byanjankar, M Heikkilä… - 2015 IEEE symposium …, 2015 - ieeexplore.ieee.org
Emergence of peer-to-peer lending has opened an appealing option for micro-financing and
is growing rapidly as an option in the financial industry. However, peer-to-peer lending …

Mobile app recommendations with security and privacy awareness

H Zhu, H Xiong, Y Ge, E Chen - Proceedings of the 20th ACM SIGKDD …, 2014 - dl.acm.org
With the rapid prevalence of smart mobile devices, the number of mobile Apps available has
exploded over the past few years. To facilitate the choice of mobile Apps, existing mobile …

Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme

Y Song, Y Wang, X Ye, R Zaretzki, C Liu - Information Sciences, 2023 - Elsevier
For the consumer lending industry, credit risk assessment is a crucial task for evaluating the
default probability of loan applications given the potential loss caused by default. In …

Modeling the decision-making process of lenders based on blockchain technology

JG Umarovich… - … Conference on Information …, 2021 - ieeexplore.ieee.org
In this article, the credit system is finalized to ensure the implementation of the Decree of the
President of the Republic of Uzbekistan dated May 12, 2020 No. 5992 «On the Strategy for …

An ensemble semi-supervised learning method for predicting defaults in social lending

A Kim, SB Cho - Engineering applications of Artificial intelligence, 2019 - Elsevier
Social lending is made between peers, and with the risk that the investor can take direct
damages from the borrower's failure to repay, accurate default prediction for borrowers is …

A sequential approach to market state modeling and analysis in online p2p lending

H Zhao, Q Liu, H Zhu, Y Ge, E Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Online peer-to-peer (P2P) lending is an emerging wealth-management service for
individuals, which allows lenders to directly bid and invest on the listings created by …

A deep learning approach to competing risks representation in peer-to-peer lending

F Tan, X Hou, J Zhang, Z Wei… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Online peer-to-peer (P2P) lending is expected to benefit both investors and borrowers due
to their low transaction cost and the elimination of expensive intermediaries. From the …