现代电子技术2016，Vol.39Issue(21)：24-28,5.DOI:10.16652/j.issn.1004-373x.2016.21.006
云计算环境中资源优化推荐技术研究
Research on resource optimization recommendation technology in cloud computing environment
摘要
Abstract
With the continuously extending of the system scale and exponential order increase of data acquisition quantity, the problems of cold start-up,accuracy and scalability of the traditional recommendation system are severe,and the real-time problem becomes a new bottleneck of the massive data recommendation system. On the basis of the mainstream algorithm in the traditional recommendation field,an expand-vector recommendation model is put forward. The object vector in recommendation algorithm is expanded reasonably according to the extended model. The recommendation set is selected by means of the similari-ty calculation and other dynamic processes to recommend the accurate target object. The experimental results show that,in com-parison with the traditional collaborative recommendation algorithm,the recommendation algorithm based on this new model can promote the recommendation effect significantly,and overcome the cold start-up successfully.关键词
扩展向量推荐模型/协同过滤/SlopeOne/ALS-WR/分布式计算Key words
expand-vector recommendation model/collaborative filtering/Slope One/ALS-WR/distributed computing分类
信息技术与安全科学引用本文复制引用
吕晓晴..云计算环境中资源优化推荐技术研究[J].现代电子技术,2016,39(21):24-28,5.基金项目
引企入校——创新IT类人才培养的实践平台(2012GJJG136) （2012GJJG136）
以培养IT企业适应型人才为目标的软件测试KPI考核体系的构建与研究(2015GJJG275) （2015GJJG275）
