Selected product recommendation system in e-commerce activity process

Abstract

The invention relates to the technical field of product recommendation, in particular to a selected product recommendation system in an e-commerce activity process, which comprises an acquisition unitfor acquiring sales data of each type of sales products sold by a user; a calculation unit, connected with the acquisition unit and used for calculating to obtain a reference value associated with each type of sales products according to the sales data and representing the sales state of each type of sales products by adopting the reference value; and a recommendation unit connected with the calculation unit and used for processing the reference value of each type of sales products according to preset activity information to obtain appropriate activity products and outputting the appropriateactivity products to serve as a product selection recommendation result of the current e-commerce activity process. The system has the beneficial effects that the activity product in the e-commerce activity process can be accurately and quickly selected from the sold commodities, and the selected commodity recommendation scheme can be adjusted in real time in the e-commerce activity process, so that the recommendation efficiency is improved, and the sales target is achieved.

Description

technical field [0001] The invention relates to the technical field of product recommendation, in particular to a product selection recommendation system in the process of e-commerce activities. Background technique [0002] E-commerce management is referred to as e-commerce, usually in a wide range of commercial and trade activities around the world, in the open network environment of the Internet, based on browser or server applications, buyers and sellers conduct various business activities without meeting each other, realizing consumer It is a new type of business operation model for online shopping, online transactions between merchants and online electronic payment, as well as various business activities, transaction interactions, financial activities and related comprehensive service activities. [0003] In the existing technology, when there are many types of activities, how to quickly select the appropriate product selection, how to predict the product selection pla...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, when there are many types of activities, how to quickly select the appropriate product selection, how to predict the product selection plan, and be able to produce sales targets. The current general operation is to label the product according to different activity types. Tags, and select active products based on inventory, discounts, and traffic conditions; this method can only see the effect of the event during the process of e-commerce activities. Once it is found that the sales of products cannot meet expectations, then adjust the recommended plan for sales of products , to reschedule operations to execute

[0004] In the application process, there are the following problems: (1) The amount of sales data is large, it takes a long time to select the event product, and the accuracy of the selection cannot be guaranteed, making the decision-making more difficult; (2) This process can only be performed during the execution of the event In order to adjust the product selection and recommendation plan, resulting in insufficient operation execution time and failure to achieve sales targets

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