Business, Management and Accounting
4 years ago

New algorithm revolutionizes P2P lending recommendations for better borrower-lender matches!

1 view
Expert Systems with Applications
Learning to recommend via random walk with profile of loan and lender in P2P lending
Yuhang Liu, Huifang Ma, Yanbin Jiang, Zhixin Li

Paper Summary

P2P lending recommender systems are improving by creating profiles of loans and lenders to make better recommendations. The RRWP method uses a random walk approach to learn how to recommend loans and lenders in P2P lending. By analyzing loan attributes and borrower information, building lender profiles with social and psychological factors, and considering interactions between loans and lenders, RRWP can make effective recommendations. Real-world experiments show that RRWP works well and aligns with basic finance investment theory.

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