Peer to peer (P2P) lending problems and potential solutions: A systematic literature review

RR Suryono, B Purwandari, I Budi - Procedia Computer Science, 2019 - Elsevier
There is a growing Financial Technology (Fintech) business model, such as Peer to Peer
(P2P) Lending. P2P Lending allows individuals and businesses to borrow and lend money …

Online peer-to-peer lending: A review of the literature

SA Basha, MM Elgammal, BM Abuzayed - Electronic Commerce Research …, 2021 - Elsevier
This study reviews the literature of online peer-to-peer (P2P) lending from 2008 until 2020
as an emergent but fast spreading phenomenon in the context of digital finance. Previous …

Ekt: Exercise-aware knowledge tracing for student performance prediction

Q Liu, Z Huang, Y Yin, E Chen, H Xiong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
For offering proactive services (eg, personalized exercise recommendation) to the students
in computer supported intelligent education, one of the fundamental tasks is predicting …

Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors

Z Li, H Zhao, Q Liu, Z Huang, T Mei… - Proceedings of the 24th …, 2018 - dl.acm.org
In the modern e-commerce, the behaviors of customers contain rich information, eg,
consumption habits, the dynamics of preferences. Recently, session-based …

Adaptive quantitative trading: An imitative deep reinforcement learning approach

Y Liu, Q Liu, H Zhao, Z Pan, C Liu - Proceedings of the AAAI conference on …, 2020 - aaai.org
In recent years, considerable efforts have been devoted to developing AI techniques for
finance research and applications. For instance, AI techniques (eg, machine learning) can …

[HTML][HTML] New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning

MA Muslim, TL Nikmah, DAA Pertiwi, Y Dasril - Intelligent Systems with …, 2023 - Elsevier
Abstract Peer-to-peer (P2P) Lending is a type of financial innovation that offers loans without
intermediaries to individuals and companies. In the P2P lending system, there is a risk of …

Forecasting movements of stock time series based on hidden state guided deep learning approach

J Jiang, L Wu, H Zhao, H Zhu, W Zhang - Information Processing & …, 2023 - Elsevier
Stock movement forecasting is usually formalized as a sequence prediction task based on
time series data. Recently, more and more deep learning models are used to fit the dynamic …

Topic modeling revisited: A document graph-based neural network perspective

D Shen, C Qin, C Wang, Z Dong… - Advances in neural …, 2021 - proceedings.neurips.cc
Most topic modeling approaches are based on the bag-of-words assumption, where each
word is required to be conditionally independent in the same document. As a result, both of …

Hierarchical lifelong learning by sharing representations and integrating hypothesis

T Zhang, G Su, C Qing, X Xu, B Cai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In lifelong machine learning (LML) systems, consecutive new tasks from changing
circumstances are learned and added to the system. However, sufficiently labeled data are …

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 …