A comprehensive clothing recommendation method, device and storage medium

Abstract

The invention relates to a comprehensive clothing recommendation method, device and storage medium. The method includes: step 1, obtaining historical clothing sales information for many years including clothing sales information in the current year, and obtaining a recommendation list based on sales forecast based on the historical clothing sales information based on the Markov chain; step 2, obtaining consumption The clothing information of the consumer is obtained based on the expert system to obtain an expert experience matrix representing the relationship between the consumer clothing information and the clothing style information, and according to the consumer clothing information and the expert experience matrix to obtain the expert experience based Recommendation list; step 3, merging the recommendation list based on sales forecast and the recommendation list based on expert experience to obtain a comprehensive recommendation list; step 4, obtaining clothing according to the consumer clothing information and the comprehensive recommendation list Recommended information. The technical scheme of the invention can improve the satisfaction of consumers in purchasing clothes.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a comprehensive clothing recommendation method, device and storage medium. Background technique [0002] When consumers choose to buy clothing, especially when they choose to buy clothing through e-commerce platforms, if they can obtain appropriate recommendation information, it will help consumers to obtain more satisfactory shopping results. However, the current clothing recommendation information is mainly generated based on the past shopping records of consumers. Due to their particularity, clothing products often have a certain fashion trend, and most consumers cannot accurately grasp it, resulting in the purchase of clothing is difficult. It may soon be unfavored by consumers, which not only affects consumers' shopping satisfaction, but also causes waste of resources. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the presen...

AI Technical Summary

Problems solved by technology

However, the current clothing recommendation information is mainly generated based on the past shopping records of consumers. Due to their particularity, clothing products often have a certain fashion trend, and most consumers cannot accurately grasp it, resulting in the clothing they choose. It may not be favored by consumers soon, which will not only affect consumers' shopping satisfaction, but also cause waste of resources

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