Response method and system for garment size information

Abstract

The invention discloses a response method and system for garment size information. The method includes the steps of setting up and storing a sentiment classification model of the corresponding relation between user feature information and garment size information for a same garment on the basis of the garment size information and the user feature information of each user for the same garment, and responding to a client-side after the corresponding garment size information is obtained according to the set up sedimentation classification model after the user feature information which is sent by the user through the client-side is received, wherein the garment size information and the user feature information are extracted from garment evaluation information of the client-side. Due to the fact that the sedimentation classification model responds to the garment size information based on the garment size information which is relevant to the features of the user and fed back for the same garment instead of according to a general standard, the accuracy for responding to the garment size information can be improved, requirements of the user can be met, and the experience degree can be improved when the user purchases the garment.

Description

technical field [0001] The invention relates to the field of electronic commerce, in particular to a method and system for responding to clothing size information. Background technique [0002] E-commerce mainly uses the Internet to engage in business or activities. In the process of e-commerce, e-commerce companies need to set up online customer service on the network side to provide online answers to various business-related questions for clients through the Internet. Consultation on related attributes of business products, consultation on related activities of e-commerce enterprises and after-sales service consultation, etc. With the development of e-commerce, more and more users use clients to access websites provided by e-commerce companies through the Internet to make purchases. Through the analysis of the clothing data of the websites provided by e-commerce companies, we found that 30% of the users will know the clothing size information in a month’s chat record data...

AI Technical Summary

Problems solved by technology

Due to the characteristics of clothing, the corresponding relationship between standard size information and height and weight of different clothing is likely to be different. The corresponding relationship in Table 1 cannot be used to cover all clothing as a response to the clothing size information of all clothing, which will cause the user to provide Respond to inaccurate clothing size information, resulting in a decline in user experience

Furthermore, the granularity of setting the corresponding relationship between height, weight and standard size information is relatively large, and it is more error-prone to respond to clothing size information in order, which cannot meet the needs of all users.

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