A method of c2c travel trust index and crime rate assessment

Abstract

The invention relates to a method for evaluating a C2C travel trust index and a crime rate, and belongs to the technical field of big data and social security. The present invention abandons the determination of the trust index of the C2C travel driver based solely on the evaluation factors of netizens, but makes full use of the advantages of data in an innovative way, considering its income level, education level, driving experience, credit degree of Alipay and banking system, and criminal record-related data. And use the text similarity algorithm to compare the evaluation data sets (netizen evaluation information), check the negative words such as ambiguous and other information in the evaluation to obtain the relative trust index and relative crime rate, and then comprehensively judge the danger of the passenger journey according to the regional attributes coefficient and other information to estimate its final trust value and crime rate. The invention solves the supervision of C2C travel drivers, enhances customers' understanding of them, restricts the behaviors of both C parties, increases the management of C2C companies, screens travel driver qualifications, and guarantees social security.

Description

technical field [0001] The invention relates to a method for evaluating a C2C travel trust index and a crime rate, and belongs to the technical field of big data and social security. Background technique [0002] The C2C travel method has been very popular for several years. It is very convenient to take a taxi anytime and anywhere. However, the service provider and the consumer are connected through a third-party platform and do not know each other. At the same time, the C2C consumption model itself has problems such as relatively low threshold for sellers and users, difficult management of sellers and users, and uneven quality. Therefore, in terms of C2C travel technology analysis, consumers entrust their life safety to strangers for a certain period of time. It is feasible to use some evaluation indicators to make consumers feel at ease. [0003] The existing scoring standards at this stage are all purely dependent on the user's evaluation standards, and there are not m...

AI Technical Summary

Problems solved by technology

However, the service provider and the consumer are connected through a third-party platform and do not know each other

At the same time, the C2C consumption model itself has problems such as relatively low threshold for sellers and users, difficult management of sellers and users, and uneven quality. Therefore, in terms of C2C travel technology analysis, consumers entrust their life safety to strangers for a certain period of time. It is feasible to use some evaluation indicators to make consumers feel at ease.

[0003] The existing scoring standards at this stage are all purely dependent on the user's evaluation standards, and there are not many comprehensive factors considered. Therefore, once a few bad reviews appear, the evaluation points will suddenly drop sharply. This lacks certain effective evaluation, and the result will cause service providers and Questions from both sides of the consumer

Not conducive to the good development of work

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