基于JavaWeb的推荐数据后台管理系统的设计与实现

Design and Implementation of Recommendation Data Background Management System Based on JavaWeb

在如今信息爆炸的时代,我们需要从海量数据中抽取特定的一些数据作为与用户交互的数据输出,将数据以一对一或多对一的方式推荐给有特定需求的用户的系统称之为推荐系统,而通过hadoop、spark等大数据处理组件对大量数据处理后的有用数据,则需要推荐数据后台管理系统的存放与管理,将特定数据输送到特定用户客户端,达到To C即面向用户的推荐效果;该系统采用JavaWeb技术、B/S模式与MVC思想进行系统开发。测试结果表明,该系统拥有良好的交互性与可用性。

In today's era of information explosion,we need to extract certain data from massive data as the data output that interacts with users,and recommend the data in a one-to-one or many-to-one manner to the system of users with specific needs.It is a recommenda⁃tion system,and through the large data processing components such as Hadoop and Spark,the useful data processed by a large amount of data needs to recommend the storage and management of the data background management system,and deliver specific data to a spe⁃cific user client to reach To C.User-oriented recommendation;the system uses JavaWeb technology,B/S mode and MVC ideas for sys⁃tem development.Test results show that the system has good interactivity and usability.