Intelligent spider for information retrieval to support mining-based price prediction for online auctioning
CCH Chan - Expert Systems with Applications, 2008 - Elsevier
Since the emergence of online auctions in 1995, many individuals have joined auction
markets. Sometimes, many bidders have made wrong decisions (eg,“Winner Curse”) due to …
markets. Sometimes, many bidders have made wrong decisions (eg,“Winner Curse”) due to …
A new hybrid instance-based learning model for decision-making in the P2P lending market
G Babaei, S Bamdad - Computational Economics, 2021 - Springer
Abstract Peer-to-Peer (P2P) lending has grown rapidly in the past years. Therefore,
borrowers and lenders are provided with the opportunity of lending and borrowing …
borrowers and lenders are provided with the opportunity of lending and borrowing …
Improving credit risk prediction in online peer-to-peer (P2P) lending using feature selection with deep learning
At the early of 21 st century, In the UK Peer2Peer (P2P) lending began with Zopa at the start
of 2005. After that, it has grown rapidly in United States, China and some other countries …
of 2005. After that, it has grown rapidly in United States, China and some other countries …
Real-time bidding by reinforcement learning in display advertising
The majority of online display ads are served through real-time bidding (RTB)---each ad
display impression is auctioned off in real-time when it is just being generated from a user …
display impression is auctioned off in real-time when it is just being generated from a user …
A deep learning based online credit scoring model for P2P lending
Z Zhang, K Niu, Y Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Credit scoring models have been widely used in traditional financial institutions for many
years. Using these models in P2P Lending have limitations. First, the credit data of P2P …
years. Using these models in P2P Lending have limitations. First, the credit data of P2P …
Credit risk evaluation model with textual features from loan descriptions for P2P lending
W Zhang, C Wang, Y Zhang, J Wang - Electronic commerce research and …, 2020 - Elsevier
Previous studies on the peer-to-peer (P2P) lending market have shown that borrowers'
default status is related to textual factors derived from the loan descriptions in loan …
default status is related to textual factors derived from the loan descriptions in loan …
Bidanalyzer: A method for estimation and selection of dynamic bidding models
Online reverse auctions generate real-time bidding data that could be used via appropriate
statistical estimation to assist the corporate buyer's procurement decision. To this end, we …
statistical estimation to assist the corporate buyer's procurement decision. To this end, we …
Toward an understanding of online lending intentions: Evidence from a survey in China
D Chen, H Lou, C Van Slyke - Communications of the Association …, 2015 - aisel.aisnet.org
The online peer-to-peer lending marketplace has experienced rapid growth since its
inception in 2005. It has played a significant role in helping small and micro-enterprises …
inception in 2005. It has played a significant role in helping small and micro-enterprises …
Forecasting peer-to-peer platform default rate with LSTM neural network
L Liang, X Cai - Electronic Commerce Research and Applications, 2020 - Elsevier
Abstract Peer-to-peer (P2P) online lending as an innovative financial derivative has
emerged around the world, which is different from a bank loan in several aspects, such as …
emerged around the world, which is different from a bank loan in several aspects, such as …
Online content match-making in B2B markets: Application of neural content modeling
Abstract Business-to-business (B2B) sellers need to enhance content marketing and
analytics in an online environment. The challenge is that sellers have data but do not know …
analytics in an online environment. The challenge is that sellers have data but do not know …