Blogger Introduction : Teacher Huang Juhua, author of the books "Getting Started with Vue.js and Mall Development" and "WeChat Mini Program Mall Development", CSDN blog expert, online education expert, CSDN Diamond Lecturer; focuses on graduation project education and guidance for college students.
All projects are equipped with basic knowledge video courses from entry to mastering, free of charge
The projects are equipped with corresponding development documents, proposal reports, task books, PPT, and papers. Templates, etc.The project has recorded release and functional operation demonstration videos; the interface and functions of the project can be customized, and installation and operation are included! ! !
If you need to contact me, you can check Teacher Huang Juhua on the CSDN website
You can get the contact information at the end of the article
The design and implementation of alcohol e-commerce sales data visualization and product recommendation system have the following background and significance:
-
Market demand: With the continuous development of social economy, e-commerce sales of alcohol are becoming more and more popular. The alcohol e-commerce sales data visualization and product recommendation system can help consumers better understand the sales situation and choose products that are more suitable for them to meet market demand.
-
Data insights: Through visual analysis of sales data, consumers’ shopping habits, popular products, and effective promotion strategies can be discovered, so as to better adjust sales strategies and optimize sales results.
-
Personalized recommendation: The product recommendation system can recommend products to consumers that are more in line with their tastes based on their purchase history, interests and hobbies, and improve user experience and purchase satisfaction.
-
Technical application: The Django framework is a very mature and powerful web development framework. It provides a wealth of tools and components to help developers complete development work more efficiently and realize the visualization of alcohol e-commerce sales data and product recommendation systems. Construct.
