Comprehensive clothing recommendation method and device and storage medium

Abstract

The invention relates to a comprehensive clothing recommendation method and device and a storage medium. The method comprises the following steps: 1, obtaining the historical garment sales informationincluding the garment sales information of the current year for successive years, and obtaining a recommendation list based on the sales forecast according to the historical garment sales informationbased on the Markov chain; 2, obtaining consumer dress information, obtaining an expert experience matrix representing a relationship between a plurality of items of consumer dress information and aplurality of item of clothing style information based on an expert system, and obtaining a recommendation list based on that expert experience according to the consumer dress information and the expert experience matrix; 3, fusing that recommendation list based on the sales volume forecast and the recommendation list base on the expert experience to obtain a comprehensive recommendation list; 4, obtaining clothing recommendation information accord to that consumer dress information and the comprehensive recommendation list. The technical scheme of the invention can improve the satisfaction degree of consumers in purchasing garments.

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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