Method and apparatus for processing user feedback information

Abstract

The application discloses a method for processing user feedback information, comprising: receiving a user feedback request to acquire user credit data and user historical feedback data, judging whether a user's current feedback is credible or not on such basis, displaying evaluation information of a target object fed back by the user when the user's current feedback is credible. The application also discloses an apparatus for processing user feedback, comprising a credit management module and a feedback management module, wherein the credit management module receives a user feedback request from a user terminal, judges whether the user's current feedback is credible or not according to the user credit data and user historical feedback data, and displays the evaluation information of the target object fed back by the user when the user's current feedback is credible; the method and apparatus enable reduced amount of user feedback data to be processed, and help improve pushing effectiveness and timeliness of user feedback information.

Description

technical field [0001] The present application relates to the field of network technology, in particular to a method and device for processing user feedback information based on a network environment. Background technique [0002] With the popularization of mobile Internet and the continuous development of e-commerce platforms, product quality issues have come to the fore. How to regulate the sales behavior of merchants, reduce malicious competition, and increase users' right to know about consumption are the top factors for e-commerce platforms to ensure product quality. In the prior art, the e-commerce platform adopts a corresponding product complaint feedback processing mechanism to deal with such problems. Generally, it pushes the product problems reported by users to other users, or displays the user’s product evaluation information on the product display page, thereby To give corresponding warnings to the problem products. There are certain limitations in this techni...

AI Technical Summary

Problems solved by technology

[0003] On the one hand, it is difficult to timely push the product problems of complaint feedback

When the e-commerce platform receives the user's product complaint feedback request, it cannot confirm the authenticity of the complaint feedback in the first time, so it will not immediately push the product evaluation information involved in the complaint feedback, so that the product evaluation information of the problematic product cannot be posted on the website. It is pushed to the product display page for display in a short period of time, so the timeliness of pushing product evaluation information is poor

[0004] On the other hand, it is difficult to extract effective commodity evaluation information

There are too many product reviews on the product display page, and useful review information is easily overwhelmed by useless spam information, making it difficult to effectively distribute the review information of problematic products to other users

[0005] It can be seen that the effectiveness and timeliness of user feedback information push in the prior art are poor, so it is necessary to design a new technical solution for processing user feedback information

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