摘  要

基于协同推荐的黔醉酒业白酒销售系统主要针对黔醉酒业的具体业务需求所设计,现阶段阶段我国大型企业都会有自己的电商平台以及销售管理系统,其功能对于中小型过于冗长复杂,成本也不是中小型企业能够承受的,而用电子报表来解决销售统计等问题呢,又过于浪费人力资源,且效率不高,固找到自己最佳解决方案,量身定做一个自己的电商系统是十分有必要的

该系统功能分为管理员和用户两大块,管理员功能模块主要有用户管理、系列管理、热卖酒水管理、系统管理、订单管理。用户功能模块主要有热卖酒水、优惠咨询、个人信息管理和购物车管理等功能。该系统能够自动地、精确可靠地处理和传输这些信息,并能够及时地把有用的信息按照内容进行分类、管理、传递以及显示。

运用Java编程语言和SpringBoot技术,采用了控制层、服务层、结构化层进行开发设计,并运用了 VUE、MySQL等基于 Web 的开发技术,在基于SpringBoot的架构下完成了该基于协同推荐的黔醉酒业白酒销售系统,并且根据酒水的香型及根据用户购买过的系列进行推荐。该系统将减少酒水企业的运作成本,将销售、进货、管理库存工作统一化、规范化、现代化。

协同推荐则指的是根据用户或商品之间的关联度,来找到相似的人或高关联度的商品用以推荐给顾客,用以实现更高的用户粘度及经济效益。

 

关键词:黔醉酒业白酒销售,Vue, Mysql数据库 SpringBoot框架,协同过滤

 

 

ABSTRACT

The Baijiu sales system of Qianzui Liquor Industry based on collaborative recommendation is mainly designed for the specific business needs of Qianzui Liquor Industry. At this stage, large enterprises in China will have their own e-commerce platforms and sales management systems, whose functions are too lengthy and complex for small and medium-sized enterprises, and the cost is not affordable for small and medium-sized enterprises. However, using electronic reports to solve sales statistics and other problems is too wasteful of human resources, and inefficient, It is necessary to find your own best solution and customize your own e-commerce system

The system functions are divided into administrator and user. The administrator function module mainly includes user management, series management, hot drinks management, system management and order management. The user function module mainly includes functions such as hot selling drinks, discount consultation, personal information management, and shopping cart management. The system can automatically, accurately and reliably process and transmit this information, and can timely classify, manage, transmit, and display useful information according to its content.

Using Java programming language and SpringBoot technology, the control layer, service layer and structural layer are used for development and design, and VUE, MySQL and other Web based development technologies are used to complete the Baijiu sales system of Qianzui Liquor Industry based on collaborative recommendation under the framework of SpringBoot, and recommendations are made according to the flavor of liquor and the series purchased by users. This system will reduce the operating costs of beverage enterprises and unify, standardize, and modernize sales, procurement, and inventory management.

Collaborative recommendation refers to finding similar people or highly correlated products to recommend to customers based on the correlation between users or products, in order to achieve higher user stickiness and economic benefits.

Key words: Baijiu sales, Vue, MySQL database SpringBoot framework

 

 

目录

 

1 绪论

1.1背景及意义

1.2 国内外研究概况

1.3 研究的内容

1.4 本章小结

2 相关技术

2.1 Vue框架

2.2 SpringBoot框架

2.3 MySQL数据库

2.4 本章小结

3 系统分析

3.1 系统可行性分析

3.2 需求分析

3.3 项目设计目标与原则

3.4功能分析

3.5系统流程分析

3.6本章小结

4 系统设计

4.1功能结构

4.2 数据库设计

4.3协同过滤算法

4.4本章小结

5 系统功能实现

5.1后台功能模块

5.2本章小结

6 系统测试

6.1系统测试的目的

6.2系统测试方法

6.3功能测试

6.4本章小结

7 总结与展望

7.1总结

7.2展望

致  谢

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