Research on Personal Credit Evaluation Model Based on AdaBoost Algorithm

2018 ◽  
Vol 07 (10) ◽  
pp. 1724-1734
Author(s):  
俊玲 金
Keyword(s):  
Evaluation Model ◽  
Credit Evaluation ◽  
Adaboost Algorithm ◽  
Personal Credit ◽  
Model Based

Research on C2C Credit Evaluation Model Based on Perceived Credibility of the Buyer

2014 ◽  
Vol 687-691 ◽  
pp. 4984-4989
Author(s):  
Chen Xing Bai
Keyword(s):  
Consumer Protection ◽  
Scoring System ◽  
Evaluation Model ◽  
Credit Scoring ◽  
Credit Evaluation ◽  
Perceived Credibility ◽  
Model Based ◽  
Evaluation Time ◽  
Transaction Value

Focusing on the lack of credit scoring system and credit evaluation model, the paper builds <qualitative perception, quantitative perception> reputation tuple based on perceived credibility of the buyer. Qualitative perception is six indicators assembly, including shop image, customer communication, payment, whether to join the consumer protection service , whether to join the Commercial Union and feedback comment; Quantitative perception is three indicators assembly, including buyer credit , the transaction value of the goods and evaluation time. Through analyzing of the case, reputation tuple can be more objective, more scientific, more comprehensive response to the seller's real credibility.

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