Digital household shopping merchant credit evaluation method

Abstract

The invention discloses a digital household shopping merchant credit evaluation method. The method comprises: after a transaction is finished, acquiring evaluation values of an evaluation that a buyer carries out about the service evaluation projects of a merchant in the transaction, and performing weight summing on the evaluation values of the service evaluation projects to obtain an evaluation value of a single transaction; and for set transaction frequency, adding up the evaluation values of each transaction to obtain the credit accumulation value of the merchant. According to the invention, the two transaction sides and a digital household shopping platform can have an objective impression of the quality of products or services provided by the merchant and the credit condition of the merchant, such that credit frauds and hype existing in the e-commerce field can be avoided, and the service level of the merchant and management level of the platform can be improved.

Description

technical field [0001] The invention relates to the technical field of digital television networks, in particular to a credit evaluation method for digital home shopping merchants. Background technique [0002] High-definition interactive home shopping is a brand-new "interactive" home TV shopping model based on the high-definition interactive digital TV platform, integrating "TV" and "Internet" cultures, and having both the simplicity of TV and the interactivity of the Internet. [0003] Most of the credit evaluations in the existing e-commerce simply accumulate the evaluation results of each transaction. This method accumulates all the credit feedback scores obtained by the user as the overall credit value of the user. Most auction sites such as Taobao and eBay adopt this cumulative credit model. The cumulative credit model is expressed as: [0004] R n =R n-1 + r n , r n ∈{-1,0,1} [0005] where R n Indicates the user's current credit, R n-1 Indicates the user's ...

AI Technical Summary

Problems solved by technology

The vast majority of people give positive comments to the products they are satisfied with, but some people give neutral comments if they are more satisfied. The reference value of this kind of highly subjective evaluation for other customers is questionable.

[0010] 2. The comparability of credit index is poor

[0012] 3. Rating indicators and rules are unreasonable

Compared with the original single "good review", "medium review" and "bad review", the "store dynamic score" system can reflect a seller's service status in a more comprehensive and specific way, effectively reducing the subjectivity of buyers when judging. But problems still exist, for example: For users who are not familiar with Taobao rules, three dynamic evaluations, plus "refund speed", "dispute refund", "complaint dispute", "handling situation" and "violation", one The sellers of the store have a total of seven evaluation indicators, which will disturb customers' judgment of the entire store. Some buyers even have vague concepts about "service evaluation", "credit evaluation" and "store dynamic score". At the same time, for sellers, In other words, in order to improve its service quality, the current scoring index system is too simple and one-sided. It is impossible to accurately understand the service status of the store, and it is impossible to further improve the service level in a targeted manner.

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