Commodity recommendation method, system and related device

Abstract

The invention provides a commodity recommendation method, which comprises the steps: acquiring the purchase quantity of target commodities by a target user in a past preset time period and the actualsales quantity of the target commodities in the preset time period; determining the purchase permeability of the target user according to the purchase quantity; determining a predicted purchase quantity of the target commodity according to the purchase permeability; determining a suggested purchase quantity of the target commodity according to the actual sales quantity, the predicted purchase quantity and a temperature coefficient; and taking the target commodity of which the suggested purchase quantity is greater than a preset threshold as a recommended commodity. According to the invention,the influence of the sales rate, the purchase quantity and the temperature of the target commodity on the sales quantity is comprehensively considered, and the recommended commodity is determined based on the suggested purchase quantity, so that the sales quantity of the recommended commodity is improved. The invention further provides a commodity recommendation system, a computer readable storagemedium and an e-commerce management terminal, which have the above beneficial effects.

Description

Technical field [0001] The present application relates to the field of electrical technology providers, particularly relates to a commodity recommendation method, system and related devices. Background technique [0002] In the shopping process, there is usually recommended product, but the traditional approach, the sales staff will be product recommendations based on purchase history shopkeepers, such as three months ago bought a Master Kong tea, which can increase some of the recommended success rate, but the effect is still very limited. In addition, many goods subject to seasonal or temperature greater impact, therefore, the current recommended product is not recommended for the accurate, making the commodity recommendation mixed results, affecting the sale of goods. Inventive content [0003] The object of the present application is to provide a method recommended merchandise, product recommendation system, and computer-readable storage medium electricity supplier managemen...

AI Technical Summary

Problems solved by technology

[0002] In the shopping process, there are usually recommended products. However, in the traditional method, the salesperson will recommend products based on the purchase records of the store owner. For example, I bought Master Kong black tea 3 months ago. This can increase the success rate of recommendation to a certain extent, but the effect is still very limited

In addition, many products are greatly affected by seasons or temperatures. Therefore, the currently recommended products are not accurate recommendations, which makes product recommendation effects mixed and affects product sales.

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