Category identification method, device, electronic device, and computer-readable storage medium

Abstract

The embodiment of the present disclosure discloses a category recognition method, device, electronic equipment, and computer-readable storage medium. The method includes: acquiring a system object category training data set, and the system object data in the system object category training data set has an evaluation category; training the system object category training data set to obtain a system object category recognition model; performing category recognition on the test object according to the system object category recognition model. The technical solution provided by the embodiments of the present disclosure breaks away from the dependence on manual labeling, can automatically classify system objects, and can achieve a high accuracy rate of category recognition. This solution saves time and effort, has low maintenance costs, and has high accuracy. , can achieve the goal of providing precise services to users, thereby enhancing user experience.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, and in particular to a category identification method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] With the development of Internet technology, more and more merchants or service providers promote products and services through Internet channels, and strive to win more user orders on the basis of promoting products and services, so as to improve the utilization of existing resources rate, creating more value for merchants or service providers. In order to provide users with more accurate services, the Internet platform has classified the services it can provide, but at present, these classifications are basically completed by manual labeling. With the huge amount of data and the rapid growth trend, Such a manual classification method is not only time-consuming and labor-intensive, but also has high maintenance costs, an...

AI Technical Summary

Problems solved by technology

In order to provide users with more accurate services, the Internet platform has classified the services it can provide, but at present, these classifications are basically completed by manual labeling. With the huge amount of data and the rapid growth trend, Such a manual classification method is not only time-consuming and labor-intensive, but also has high maintenance costs, and also has the defect of low accuracy, so that the goal of providing accurate services for users cannot be achieved, and in turn, it will weaken the user experience

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