Commodity evaluation sorting method and system

Abstract

The invention discloses a commodity evaluation sorting method and system. The method comprises the following steps: determining the demands of a user for commodity evaluation and the impact factors ofevaluation sorting involved by the demands, carrying out the analysis of the impact factors through a factor analysis method, and constructing an evaluation weight model; obtaining evaluation data ofa user for the commodity, extracting evaluation characters and evaluation pictures from the evaluation data, and respectively scoring the evaluation characters and the evaluation pictures; and carrying out numerical value sorting on the total score of the evaluation characters and the evaluation picture through the evaluation weight model, and enabling the numerical value sorting to correspond tothe evaluation sorting of the commodity. According to the embodiment of the invention, through picture and character recognition and model calculation of commodity evaluation, high-quality evaluationof commodity characteristics is displayed to consumers, the conversion rate of commodities is improved, Meanwhile, the operation cost of e-commerce is also reduced.

Description

technical field [0001] The present invention relates to the field of e-commerce operation, in particular to a sorting method and system for commodity evaluation. Background technique [0002] Evaluation, as the starting point in the user's shopping process, is a key element that affects product conversion. As a consumer, the starting point of user needs is to see real, rich evaluation content, and strong product-related evaluations. As a merchant or a platform, the starting point of the merchant's needs is to give priority to consumers with reviews that describe positive emotions, high-rated star ratings, and highlight the high-quality characteristics of products. However, at present, in order to meet the common needs of consumers and merchant platforms, e-commerce platforms have set different strategies and algorithms for evaluation ranking. The existing ranking algorithms have messy evaluation content and text information, and large sections of invalid text evaluations ar...

AI Technical Summary

Problems solved by technology

However, at present, in order to meet the common needs of consumers and merchant platforms, e-commerce platforms have set different strategies and algorithms for evaluation ranking. The existing ranking algorithms have messy evaluation content and text information, and large sections of invalid text evaluations are displayed first. The problem of unclear picture quality

On the other hand, because some sellers have many types of products, the number of evaluations for each product may not be large, and many sellers manually sort the products. This method of manual selection and evaluation will increase labor costs and increase The cost of large e-commerce operations, how to show real and reasonable evaluations to consumers while reducing e-commerce operating costs, so as to increase the desire to convert sellers’ products into buyers’ purchases, is the problem of product conversion rate. Need for further technological innovation

Images