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 …
individuals, buyers (lenders) and sellers (investors) without the intermediation of a third …
Borrower decision aid for people-to-people lending
L Puro, JE Teich, H Wallenius, J Wallenius - Decision Support Systems, 2010 - Elsevier
In setting up, and bidding in online auctions, people face difficult strategic decisions. In this
study, a Borrower Decision Aid is introduced, which will help formalize the decision making …
study, a Borrower Decision Aid is introduced, which will help formalize the decision making …
Predicting default risk on peer-to-peer lending imbalanced datasets
YR Chen, JS Leu, SA Huang, JT Wang… - IEEE Access, 2021 - ieeexplore.ieee.org
In the past few years, Peer-to-Peer lending (P2P lending) has grown rapidly in the world.
The main idea of P2P lending is disintermediation and removing the intermediaries like …
The main idea of P2P lending is disintermediation and removing the intermediaries like …
[PDF][PDF] Booking prediction models for peer-to-peer accommodation listings using logistics regression, decision tree, K-nearest neighbor, and random Forest classifiers
MA Afrianto, M Wasesa - Journal of Information Systems …, 2020 - researchgate.net
Background: Literature in the peer-to-peer accommodation has put a substantial focus on
accommodation listings' price determinants. Developing prediction models related to the …
accommodation listings' price determinants. Developing prediction models related to the …
Multi-task learning for bias-free joint ctr prediction and market price modeling in online advertising
The rapid rise of real-time bidding-based online advertising has brought significant
economic benefits and attracted extensive research attention. From the perspective of an …
economic benefits and attracted extensive research attention. From the perspective of an …
Learning logistic demand curves in business-to-business pricing
This work proposes an approximate Bayesian statistical model for predicting the win/loss
probability for a given price in business-to-business (B2B) pricing. This model allows us to …
probability for a given price in business-to-business (B2B) pricing. This model allows us to …
Bidding machine: Learning to bid for directly optimizing profits in display advertising
Real-time bidding (RTB) based display advertising has become one of the key technological
advances in computational advertising. RTB enables advertisers to buy individual ad …
advances in computational advertising. RTB enables advertisers to buy individual ad …
Bidding strategies for real-life small loan auctions
L Puro, JE Teich, H Wallenius, J Wallenius - Decision Support Systems, 2011 - Elsevier
We define and identify bidding strategies in real-life small loan auctions (Prosper. com). In
such auctions, lenders bid for borrowers' loan listings and the winners get to fund the loan at …
such auctions, lenders bid for borrowers' loan listings and the winners get to fund the loan at …