An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers

Research article (Intelligent Systems with Applications, 2023) · cited 17× · AI/ML
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An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers

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An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers is a scholarly article[1].

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  • An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-innovative-model-fusion-algorithm-to-improve-the-recall-rate-of-peer-to-peer-lending-default-customers
MLA “An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-innovative-model-fusion-algorithm-to-improve-the-recall-rate-of-peer-to-peer-lending-default-customers.
BibTeX @misc{4ortxyz_an-innovative-model-fusion-algorithm-to-improve-the-recall-rate-of-peer-to-peer-lending-default-customers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers}}, year = {2026}, url = {https://4ort.xyz/entity/an-innovative-model-fusion-algorithm-to-improve-the-recall-rate-of-peer-to-peer-lending-default-customers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers — https://4ort.xyz/entity/an-innovative-model-fusion-algorithm-to-improve-the-recall-rate-of-peer-to-peer-lending-default-customers (retrieved 2026-05-24)

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