Abstract:

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.

Key words: personal information, customize service, cloud services, data mining