基于Hadoop云平台个性化信息定制系统设计与实现

为提高信息获取的定向性和准确性, 适应大数据时代数据处理需求, 以高校信息平台为应用背景, 设计并实现了基于Hadoop 云平台的个性化信息定制系统。该系统利用Mahout 培养Bayes 分类器实现数据挖掘算法的分布式, 将分析处理结果存储于Hbase 数据库中, 并在移动终端上开发了基于Android 的客户端, 将移动终端与分布式信息处理平台互连, 完成信息推送。测试结果表明, 该系统可以为用户提供个性化定制服务, 方便用户随时查阅定制信息, 提高信息服务的针对性和互动性, 满足用户日益增长的网络访问需求。

Design and Implementation of Personalized Information Customization System Based on Hadoop Cloud Platform

Aiming at improving the accuracy and directionality of the information acquisition to meet the requirements of the big data processing,we design and implement a personalized information customization system based on Hadoop cloud platform under the background of colleges and universities. It uses Mahout to train the Bayes classifier to distribute data mining algorithm,then the analysis results are stored in the Hbase database. We also develop the Android-based client, through which the mobile terminal connects to the distributed information processing platform. Test results shows that the system could provide the personalized service for users. Customized information could be accessed by users at any time conveniently,which improves the pertinence and interaction of the information service,meeting the demand of the growing network access.