Hongke Zhao
Enhong Chen
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Abstract
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 prevalence of online P2P lending platforms, examples of which include Prosper, LendingClub, and Kiva. Meanwhile, extensive research has been done that mainly focuses on the studies of platform mechanisms and transaction data. In this article, we provide a comprehensive survey on the research about P2P lending, which, to the best of our knowledge, is the first focused effort in this field. Specifically, we first provide a systematic taxonomy for P2P lending by summarizing different types of mainstream platforms and comparing their working mechanisms in detail. Then, we review and organize the recent advances on P2P lending from various perspectives (e.g., economics and sociology perspective, and data-driven perspective). Finally, we propose our opinions on the prospects of P2P lending and suggest some future research directions in this field. Meanwhile, throughout this paper, some analysis on real-world data collected from Prosper and Kiva are also conducted.
- Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17, 6 (2005), 734--749. Google Scholar
Digital Library
- Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat, Gautam Das, and Cong Yu. 2009. Group recommendation: Semantics and efficiency. Proceedings of the VLDB Endowment 2, 1 (2009), 754--765. Google ScholarDigital Library
- Jisun An, Daniele Quercia, and Jon Crowcroft. 2014. Recommending investors for crowdfunding projects. In Proceedings of the 23rd International Conference on World Wide Web. ACM, 261--270. Google ScholarDigital Library
- Arvind Ashta and Djamchid Assadi. 2009. An analysis of european online micro-lending websites. Cahiers du CEREN 29 (2009), 147--160.Google Scholar
- Alexander Bachmann, Alexander Becker, Daniel Buerckner, Michel Hilker, Frank Kock, Mark Lehmann, Phillip Tiburtius, and Burkhardt Funk. 2011. Online peer-to-peer lending--a literature. Journal of Internet Banking and Commerce 16, 2 (2011), 1--18.Google Scholar
- William J. Baumol and David F. Bradford. 1970. Optimal departures from marginal cost pricing. The American Economic Review 60, 3 (1970), 265--283.Google Scholar
- Tanya Beaulieu, Suprateek Sarker, and Saonee Sarker. 2015. A conceptual framework for understanding crowdfunding. Communications of the Association for Information Systems 37, 1 (2015), 1--31.Google ScholarCross Ref
- Paul Belleflamme, Thomas Lambert, and Armin Schwienbacher. 2014. Crowdfunding: Tapping the right crowd. Journal of Business Venturing 29, 5 (2014), 585--609. Google ScholarCross Ref
- Sven C. Berger and Fabian Gleisner. 2009. Emergence of financial intermediaries in electronic markets: The case of online P2P lending. BuR-Business Research 2, 1 (2009), 39--65. Google ScholarCross Ref
- Rainer Böhme and Stefanie Pötzsch. 2010. Privacy in online social lending. In Proceedings of the AAAI Spring Symposium: Intelligent Information Privacy Management.Google Scholar
- Daren C. Brabham. 2013. Crowdsourcing. Mit Press.Google Scholar
- Ulrich Bretschneider and Jan Marco Leimeister. 2017. Not just an ego-trip:Exploring backers motivation for funding in incentive-based crowdfunding. The Journal of Strategic Information Systems (2017). http://dx.doi.org/10.1016/j.jsis.2017.02.002. Google ScholarDigital Library
- Gordon Burtch, Anindya Ghose, and Sunil Wattal. 2013. Cultural differences and geography as determinants of online pro-social lending. MIS Quarterly, Forthcoming (2013), 14--021. Google ScholarCross Ref
- Ajay Byanjankar, Markku Heikkila, and Jozsef Mezei. 2015. Predicting credit risk in peer-to-peer lending: A neural network approach. In Proceedings of the 2015 IEEE Symposium Series on Computations Intelligence. IEEE, 719--725. Google ScholarCross Ref
- Simla Ceyhan, Xiaolin Shi, and Jure Leskovec. 2011. Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success. In Proceedings of the 20th International Conference on World wide Web. ACM, 547--556.Google ScholarDigital Library
- Dongyu Chen and Chaodong Han. 2012. A comparative study of online P2P lending in the USA and china. Journal of Internet Banking and Commerce 17, 2 (2012), 1--15.Google Scholar
- Ning Chen, Arpita Ghosh, and Nicolas S. Lambert. 2014. Auctions for social lending: A theoretical analysis. Games and Economic Behavior 86 (2014), 367--391. Google ScholarCross Ref
- Xiaohong Chen, Li Yang, Pei Wang, and Wei Yue. 2013. An effective interval-valued intuitionistic fuzzy entropy to evaluate entrepreneurship orientation of online P2P lending platforms. Advances in Mathematical Physics 2013 (2013), Article ID 467215, 8 pages. http://dx.doi.org/10.1155/2013/467215. Google ScholarCross Ref
- Xiao-hong Chen, Fu-jing Jin, Qun Zhang, and Li Yang. 2016. Are investors rational or perceptual in P2P lending? Information Systems and e-Business Management (2016), 1--24. Google ScholarDigital Library
- Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, and Haesun Park. 2014b. Understanding and promoting micro-finance activities in kiva. org. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining. ACM, 583--592. Google ScholarDigital Library
- Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, and Haesun Park. 2014a. To gather together for a better world: Understanding and leveraging communities in micro-lending recommendation. In Proceedings of the 23rd International Conference on World Wide Web. ACM, 249--260. Google ScholarDigital Library
- Benjamin C. Collier and Robert Hampshire. 2010. Sending mixed signals: Multilevel reputation effects in peer-to-peer lending markets. In Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work. ACM, 197--206. Google ScholarDigital Library
- Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, and Edwin R. Hancock. 2016. P2P lending analysis using the most relevant graph-based features. In Proceedings of the Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). Springer, 3--14.Google Scholar
- Alex Deeb, Jianhan Wang, and Ben Yeransian. 2015. Crowdfunding and Its effectiveness. (2015).Google Scholar
- Yuliya Demyanyk and Otto Van Hemert. 2011. Understanding the subprime mortgage crisis. Review of Financial Studies 24, 6 (2011), 1848--1880. Google ScholarCross Ref
- Gang Dong, Kin Keung Lai, and Jerome Yen. 2010. Credit scorecard based on logistic regression with random coefficients. Procedia Computer Science 1, 1 (2010), 2463--2468. Google ScholarCross Ref
- Zhicheng Dou, Ruihua Song, and Ji-Rong Wen. 2007. A large-scale evaluation and analysis of personalized search strategies. In Proceedings of the 16th International Conference on World Wide Web. ACM, 581--590. Google ScholarDigital Library
- Jefferson Duarte, Stephan Siegel, and Lance Young. 2012. Trust and credit: The role of appearance in peer-to-peer lending. Review of Financial Studies 25, 8 (2012), 2455--2484. Google ScholarCross Ref
- Wendy Edelberg. 2006. Risk-based pricing of interest rates for consumer loans. Journal of Monetary Economics 53, 8 (2006), 2283--2298. Google ScholarCross Ref
- Magdalini Eirinaki and Michalis Vazirgiannis. 2003. Web mining for web personalization. ACM Transactions on Internet Technology (TOIT) 3, 1 (2003), 1--27. Google ScholarDigital Library
- Riza Emekter, Yanbin Tu, Benjamas Jirasakuldech, and Min Lu. 2015. Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics 47, 1 (2015), 54--70. Google ScholarCross Ref
- Vincent Etter, Matthias Grossglauser, and Patrick Thiran. 2013. Launch hard or go home!: Predicting the success of kickstarter campaigns. In Proceedings of the first ACM Conference on Online Social Networks. ACM, 177--182. Google ScholarDigital Library
- Craig R. Everett. 2015. Group membership, relationship banking and loan default risk: The case of online social lending. Banking and Finance Review 7, 2 (2015).Google Scholar
- Seth Freedman and Ginger Zhe Jin. 2008. Do social networks solve information problems for peer-to-peer lending? Evidence from prosper.com (November 14, 2008). NET Institute Working Paper, No. 08-43. Available at SSRN: https://ssrn.com/abstract=1304138 or http://dx.doi.org/10.2139/ssrn.1304138. Google ScholarCross Ref
- Seth M. Freedman and Ginger Zhe Jin. 2011. Learning by Doing with Asymmetric Information: Evidence from Prosper. Com. Technical Report. National Bureau of Economic Research. Google ScholarCross Ref
- Arne Frerichs and M. Schuhmann. 2008. Peer to peer banking--state of the art. Institut für Wirtschaftsinformatik der Georg-August-Universität Göttingen, Arbeitsbericht 02 (2008), 2008.Google Scholar
- Ian Galloway. 2009. Peer-to-peer lending and community development finance. Community Investments 21, 3 (2009), 19--23.Google Scholar
- Hector Garcia-Molina, Manas Joglekar, Adam Marcus, Aditya Parameswaran, and Vasilis Verroios. 2016. Challenges in data crowdsourcing. IEEE Transactions on Knowledge and Data Engineering 28, 4 (2016), 901--911. Google ScholarDigital Library
- Buğra Gedik and Ling Liu. 2005. Location privacy in mobile systems: A personalized anonymization model. In Proceedings of the 25th IEEE International Conference on Distributed Computing Systems. IEEE, 620--629. Google ScholarDigital Library
- Elizabeth M. Gerber and Julie Hui. 2013. Crowdfunding: Motivations and deterrents for participation. ACM Transactions on Computer-Human Interaction (TOCHI) 20, 6 (2013), 34.Google ScholarDigital Library
- Elizabeth M. Gerber, Julie S. Hui, and Pei-Yi Kuo. 2012. Crowdfunding: Why people are motivated to post and fund projects on crowdfunding platforms. In Proceedings of the International Workshop on Design, Influence, and Social Technologies: Techniques, Impacts and Ethics.Google Scholar
- Stuart I. Greenbaum, George Kanatas, and Itzhak Venezia. 1989. Equilibrium loan pricing under the bank-client relationship. Journal of Banking & Finance 13, 2 (1989), 221--235. Google ScholarCross Ref
- Michael D. Greenberg and Elizabeth M. Gerber. 2014. Learning to fail: Experiencing public failure online through crowdfunding. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 581--590. Google ScholarDigital Library
- Martina E. Greiner and Hui Wang. 2009. The role of social capital in people-to-people lending marketplaces. In Proceedings of ICIS 2009. 29.Google Scholar
- Ralph Gross and Alessandro Acquisti. 2005. Information revelation and privacy in online social networks. In Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society. ACM, 71--80. Google ScholarDigital Library
- Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, and Hui Xiong. 2016. Instance-based credit risk assessment for investment decisions in P2P lending. European Journal of Operational Research 249, 2 (2016), 417--426. Google ScholarCross Ref
- Philipp Haas, Ivo Blohm, and Jan Marco Leimeister. 2014. An empirical taxonomy of crowdfunding intermediaries. In Thirty Fifth International Conference on Information Systems. Auckland, 1--19.Google Scholar
- Scott E. Hartley. 2010. Kiva.org: Crowd-sourced microfinance and cooperation in group lending. Available at SSRN 1572182 (2010).Google Scholar
- Joachim Hemer. 2011. A Snapshot on Crowdfunding. Technical Report. Working papers firms and region.Google Scholar
- Sergio Herrero-Lopez. 2009. Social interactions in P2P lending. In Proceedings of the 3rd Workshop on Social Network Mining and Analysis. ACM, 3.Google ScholarDigital Library
- Michal Herzenstein, Rick L. Andrews, Utpal M. Dholakia, and Evgeny Lyandres. 2008. The democratization of personal consumer loans? determinants of success in online peer-to-peer lending communities. Boston University School of Management Research Paper 2009-14 (2008). http://ssrn.com/abstract=1147856.Google Scholar
- Michal Herzenstein, Utpal M. Dholakia, and Rick L. Andrews. 2011. Strategic herding behavior in peer-to-peer loan auctions. Journal of Interactive Marketing 25, 1 (2011), 27--36. Google ScholarCross Ref
- Andreas Hinterhuber. 2004. Towards value-based pricingAn integrative framework for decision making. Industrial Marketing Management 33, 8 (2004), 765--778. Google ScholarCross Ref
- Andreas Hoegen, Dennis M. Steininger, and Daniel Veit. 2017. An interdisciplinary review of investor decision-making in crowdfunding. In Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), J. M. Leimeister and W. (Hrsg.) Brenner. St. Gallen, S. 664--667.Google Scholar
- Emőke-Ágnes Horvát, Jayaram Uparna, and Brian Uzzi. 2015. Network vs market relations: The effect of friends in crowdfunding. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015. ACM, 226--233.Google ScholarDigital Library
- Julie S. Hui, Michael D. Greenberg, and Elizabeth M. Gerber. 2014. Understanding the role of community in crowdfunding work. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work 8 social Computing. ACM, 62--74. Google ScholarDigital Library
- Michael K. Hulme and Collette Wright. 2006. Internet based social lending: Past, present and future. Working paper, Social Futures Observatory, Sedbergh, UK.Google Scholar
- Rajkamal Iyer, Asim Ijaz Khwaja, Erzo FP Luttmer, and Kelly Shue. 2009. Screening in new credit markets: Can individual lenders infer borrower creditworthiness in peer-to-peer lending? In AFA 2011 Denver Meetings Paper.Google ScholarCross Ref
- Anthony Jameson and Barry Smyth. 2007. Recommendation to groups. In The Adaptive Web. Springer, 596--627. Google ScholarCross Ref
- Michael Klafft. 2008a. Online peer-to-peer lending: A lenders’ perspective. In Proceedings of the International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, EEE. 371--375.Google ScholarCross Ref
- Michael Klafft. 2008b. Peer to peer lending: Auctioning microcredits over the internet. In Proceedings of the International Conference on Information Systems, Technology and Management.Google Scholar
- Manoj Kumar and Stuart I. Feldman. 1998. Internet auctions. In Proceedings of the 3rd USENIX Workshop on Electronic Commerce, Vol. 31.Google Scholar
- Venkat Kuppuswamy and Barry L Bayus. 2014. Crowdfunding creative ideas: The dynamics of project backers in Kickstarter. Working paper, UNC Kenan-Flagler Research Paper 2013-15 (2014).Google Scholar
- Eunkyoung Lee and Byungtae Lee. 2012. Herding behavior in online P2P lending: An empirical investigation. Electronic Commerce Research and Applications 11, 5 (2012), 495--503. Google ScholarDigital Library
- Eric L. Lee, Jing-Kai Lou, Wei-Ming Chen, Yen-Chi Chen, Shou-De Lin, Yen-Sheng Chiang, and Kuan-Ta Chen. 2015. Toward effective yet impartial altruism: A fairness-aware loan recommender system for microfinance services. (2015). Working paper.Google Scholar
- Yaping Li, Minghua Chen, Qiwei Li, and Wei Zhang. 2012. Enabling multilevel trust in privacy preserving data mining. IEEE Transactions on Knowledge and Data Engineering 24, 9 (2012), 1598--1612. Google ScholarDigital Library
- Yan Li, Vineeth Rakesh, and Chandan K. Reddy. 2016. Project success prediction in crowdfunding environments. In Proceedings of the 9th ACM International Conference on Web Search and Data Mining. ACM. Google ScholarDigital Library
- Mingfeng Lin. 2009. Peer-to-peer lending: An empirical study. AMCIS 2009 Doctoral Consortium (2009), 17.Google Scholar
- Mingfeng Lin, Nagpurnanand R. Prabhala, and Siva Viswanathan. 2009. Judging borrowers by the company they keep: Social networks and adverse selection in online peer-to-peer lending. Working paper, SSRN ELibrary (2009).Google Scholar
- Mingfeng Lin, Nagpurnanand R. Prabhala, and Siva Viswanathan. 2013. Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending. Management Science 59, 1 (2013), 17--35. Google ScholarDigital Library
- De Liu, Daniel Brass, Yong Lu, and Dongyu Chen. 2015. Friendships in online peer-to-peer lending: Pipes, prisms, and relational herding. Management Information Systems Quarterly 39, 3 (2015), 729--742. Google ScholarDigital Library
- Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, and Hui Xiong. 2011. Personalized travel package recommendation. In Proceedings of the 2011 IEEE 11th International Conference on Data Mining (ICDM). IEEE, 407--416. Google ScholarDigital Library
- Wei Liu and Li-Qiu Xia. 2017. An evolutionary behavior forecasting model for online lenders and borrowers in peer-to-peer lending. Asia-Pacific Journal of Operational Research 34, 01 (2017), 1740008.Google ScholarCross Ref
- Yang Liu, Roy Chen, Yan Chen, Qiaozhu Mei, and Suzy Salib. 2012. I loan because...: Understanding motivations for pro-social lending. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining. ACM, 503--512. Google ScholarDigital Library
- Lynda S Livingston, Samantha A Anders, and Hiroki Tokuyama. 2015. Viability of a peer-to-peer loan market for studens and the underbanked. Global Journal of Business Research 9, 4 (2015), 53.Google Scholar
- Chun-Ta Lu, Sihong Xie, Xiangnan Kong, and Philip S. Yu. 2014. Inferring the impacts of social media on crowdfunding. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining. ACM, 573--582. Google ScholarDigital Library
- Binjie Luo and Zhangxi Lin. 2013. A decision tree model for herd behavior and empirical evidence from the online P2P lending market. Information Systems and e-Business Management 11, 1 (2013), 141--160. Google ScholarDigital Library
- Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, and Guishi Deng. 2011. Enhancing investment decisions in P2P lending: An investor composition perspective. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 292--300.Google ScholarDigital Library
- Pierre Ly and Geri Mason. 2010. Individual preferences over NGO projects: Evidence from microlending on Kiva. Available at SSRN 1652269 (2010).Google Scholar
- Pierre Ly and Geri Mason. 2012. Competition between microfinance NGOs: Evidence from Kiva. World Development 40, 3 (2012), 643--655. Google ScholarCross Ref
- Milad Malekipirbazari and Vural Aksakalli. 2015. Risk assessment in social lending via random forests. Expert Systems with Applications 42, 10 (2015), 4621--4631. Google ScholarDigital Library
- Harry Markowitz. 1952. Portfolio selection*. The Journal of Finance 7, 1 (1952), 77--91. Google ScholarCross Ref
- Sara L. McKinnon, Elizabeth Dickinson, John N. Carr, and Karma R. Chávez. 2013. Kiva. org, person-to-person lending, and the conditions of intercultural contact. Howard Journal of Communications 24, 4 (2013), 327--347. Google ScholarCross Ref
- Tanushree Mitra and Eric Gilbert. 2014. The language that gets people to give: Phrases that predict success on kickstarter. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work 8 Social Computing. ACM, 49--61. Google ScholarDigital Library
- Bamshad Mobasher, Robert Cooley, and Jaideep Srivastava. 2000. Automatic personalization based on web usage mining. Communications of the ACM 43, 8 (2000), 142--151. Google ScholarDigital Library
- Ethan Mollick. 2014. The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing 29, 1 (2014), 1--16. Google ScholarCross Ref
- Devin G. Pope and Justin R. Sydnor. 2011. Whats in a picture? Evidence of discrimination from Prosper.com. Journal of Human Resources 46, 1 (2011), 53--92. Google ScholarCross Ref
- Stefanie Pötzsch and Rainer Böhme. 2010. The role of soft information in trust building: Evidence from online social lending. In Trust and Trustworthy Computing. Springer, 381--395. Google ScholarCross Ref
- Amiyatosh Purnanandam. 2011. Originate-to-distribute model and the subprime mortgage crisis. Review of Financial Studies 24, 6 (2011), 1881--1915. Google ScholarCross Ref
- Feng Qiu and Junghoo Cho. 2006. Automatic identification of user interest for personalized search. In Proceedings of the 15th International Conference on World Wide Web. ACM, 727--736. Google ScholarDigital Library
- Kanshukan Rajaratnam, Peter A. Beling, and George A. Overstreet. 2016. Models of sequential decision making in consumer lending. Decision Analytics 3, 1 (2016), 6.Google ScholarCross Ref
- Vineeth Rakesh, Jaegul Choo, and Chandan K. Reddy. 2015. Project recommendation using heterogeneous traits in crowdfunding. In Proceedings of the 9th International AAAI Conference on Web and Social Media.Google Scholar
- Vineeth Rakesh, Wang-Chien Lee, and Chandan K. Reddy. 2016. Probabilistic group recommendation model for crowdfunding domains. In Proceedings of the 9th ACM International Conference on Web Search and Data Mining. ACM. Google ScholarDigital Library
- Paul Resnick and Hal R. Varian. 1997. Recommender systems. Commun. ACM 40, 3 (1997), 56--58. Google ScholarDigital Library
- Gao Ruiqiong and Feng Junwen. 2014. An overview study on P2P lending. International Business and Management 8, 2 (2014), 14--18.Google Scholar
- Joe Ryan, Katya Reuk, and Charles Wang. 2007. To fund or not to fund: Determinants of loan fundability in the prosper.com marketplace. Working Paper, The Standord Graduate School of Business (2007).Google Scholar
- Carlos Serrano-Cinca, Begoña Gutiérrez-Nieto, and Luz López-Palacios. 2015. Determinants of default in p2p lending. PloS One 10, 10 (2015), e0139427.Google ScholarCross Ref
- Dawei Shen, Coco Krumme, and Andrew Lippman. 2010. Follow the profit or the herd? exploring social effects in peer-to-peer lending. In Proceedings of the 2010 IEEE 2nd International Conference on Social Computing (SocialCom). IEEE, 137--144. Google ScholarDigital Library
- Michael Simkovic. 2013. Risk-based student loans. Wash. & Lee L. Rev. 70 (2013), 527.Google Scholar
- Jacob Solomon, Wenjuan Ma, and Rick Wash. 2015. Don’t wait!: How timing affects coordination of crowdfunding donations. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM, 547--556.Google Scholar
- Roger M. Stein. 2005. The relationship between default prediction and lending profits: Integrating ROC analysis and loan pricing. Journal of Banking & Finance 29, 5 (2005), 1213--1236. Google ScholarCross Ref
- Qingyao Wan, Dongyu Chen, and Weihua Shi. 2016. Online peer-to-peer lending decision making: Model development and testing. Social Behavior and Personality: An International Journal 44, 1 (2016), 117--130. Google ScholarCross Ref
- Hui Wang, Martina Greiner, and Jay E. Aronson. 2009. People-to-people lending: The emerging e-commerce transformation of a financial market. In Value Creation in E-Business Management. Springer, 182--195. Google ScholarCross Ref
- Yongqiao Wang, Shouyang Wang, and Kin Keung Lai. 2005. A new fuzzy support vector machine to evaluate credit risk. IEEE Transactions on Fuzzy Systems 13, 6 (2005), 820--831. Google ScholarDigital Library
- Zaiyan Wei and Mingfeng Lin. 2016. Market mechanisms in online peer-to-peer lending. Management Science, Articles in Advance, 1--22.Google Scholar
- Gregor N. F. Weiss, Katharina Pelger, and Andreas Horsch. 2010. Mitigating adverse selection in p2p lending--empirical evidence from prosper.com. Working paper, Available at SSRN 1650774 (2010).Google Scholar
- Alan M. White. 2004. Risk-based mortgage pricing: Present and future research. Housing Policy Debate 15, 3 (2004), 503--531. Google ScholarCross Ref
- Anbang Xu, Xiao Yang, Huaming Rao, Wai-Tat Fu, Shih-Wen Huang, and Brian P. Bailey. 2014. Show me the money!: An analysis of project updates during crowdfunding campaigns. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 591--600.Google Scholar
- Jennifer Xu, Dongyu Chen, and Michael Chau. 2016. Identifying features for detecting fraudulent loan requests on P2P platforms. In Proceedings of the 2016 IEEE Conference on Intelligence and Security Informatics (ISI). IEEE, 79--84. Google ScholarDigital Library
- Jennifer J. Xu, Yong Lu, and Michael Chau. 2015. P2P lending fraud detection: A big data approach. In Intelligence and Security Informatics. Springer, 71--81.Google Scholar
- Haewon Yum, Byungtae Lee, and Myungsin Chae. 2012. From the wisdom of crowds to my own judgment in microfinance through online peer-to-peer lending platforms. Electronic Commerce Research and Applications 11, 5 (2012), 469--483. Google ScholarDigital Library
- DunGang Zang, MngYu Qi, and YanMing Fu. 2014. The credit risk assessment of P2P lending based on BP neural network. In Proceedings of the 2014 International Conference on Industrial Engineering and Management Science (IEMS’14), Vol. 2. CRC Press, 91.Google Scholar
- Yizhou Zhang, Yun Xiong, Xiangnan Kong, and Yangyong Zhu. 2016a. NetCycle: Collective evolution inference in heterogeneous information networks. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 1365--1374. Google ScholarDigital Library
- Yongfeng Zhang, Qi Zhao, Yi Zhang, Daniel Friedman, Min Zhang, Yiqun Liu, and Shaoping Ma. 2016b. Economic recommendation with surplus maximization. In Proceedings of the 25rd International Conference on World Wide Web. ACM. Google ScholarDigital Library
- Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, and Enhong Chen. 2016a. Group preference aggregation: A nash equilibrium approach. In Proceedings of the 2016 IEEE International Conference on Data Mining. IEEE, 679--688. Google ScholarCross Ref
- Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, and Enhong Chen. 2016b. Portfolio selections in P2P lending: A multi-objective perspective. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2075--2084.Google ScholarDigital Library
- Hongke Zhao, Qi Liu, Hengshu Zhu, Enhong Chen, Yong Ge, Yan Zhu, and Junping Du. 2017. A sequential approach to market state modeling and analysis in online p2p lending. IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Early Access Articles, 2017.Google Scholar
- Hongke Zhao, Le Wu, Qi Liu, Yong Ge, and Enhong Chen. 2014. Investment recommendation in p2p lending: A portfolio perspective with risk management. In Proceedings of the 2014 IEEE International Conference on Data Mining (ICDM). IEEE, 1109--1114.Google ScholarDigital Library
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