摘要
通过对云计算系统架构、平台开发、用户行为分析、电子商务应用等方面的研究,提出了一种新型的分布式存储系统,并在此基础上构建了一种新的智能化电子商务个性化推荐系统。该推荐系统有效解决了大型日志数据存储、无法实时推荐、算法伸缩性低等问题,为用户提供动态、实时的个性化服务,实现了商务推荐引擎的个性化和智能化。
Based on the study of the system architecture of cloud computing, Platform Developer, user log analysis and the application of E-commerce, a new distributed file system is proposed which can solve problems of massive data storage, non-real-time recommendation and low scalability. On the basis of this, an intelligent recommendation system is built which can provide users with dynamic, real-time personalized services and achieve a individualization and intellectualization of the recommendation engine.
出处
《安徽工业大学学报(自然科学版)》
CAS
2014年第2期199-202,共4页
Journal of Anhui University of Technology(Natural Science)
基金
安徽省高校自然科学研究项目(KJ2011Z039
KJ2013A053)
关键词
云计算
电子商务
用户行为分析
推荐系统
cloud computing
E-commerce
user log analysis
recommendation system