Learning to recommend via random walk with profile of loan and lender in P2P lending

作者：

Highlights：

• A new recommendation framework is designed for P2P lending.

• Effective profile modelling methods for both loan and lender are deeply explored.

• Lender profile incorporates social and psychological attributes.

• Loan profile fuses characteristics of both loan and borrower.

• The recommendation is explored by performing random walk on a hybrid graph.

摘要

•A new recommendation framework is designed for P2P lending.•Effective profile modelling methods for both loan and lender are deeply explored.•Lender profile incorporates social and psychological attributes.•Loan profile fuses characteristics of both loan and borrower.•The recommendation is explored by performing random walk on a hybrid graph.

论文关键词：P2P lending,Hybrid graph,Lender profile,Loan profile,Recommendation

论文评审过程：Received 6 May 2020, Revised 16 February 2021, Accepted 18 February 2021, Available online 26 February 2021, Version of Record 7 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114763