摘要
推荐系统是学术界和工业界研究热门的课题,能有效解决互联网海量数据中"信息过载".首先介绍个性化推荐技术的发展、应用和相关问题,重点分析多种经典的推荐算法及其特点,并给出推荐系统的性能评价方法与指标,最后对个性化推荐的未来发展做出展望。
Recommendation system is a hot topic in industry and academic fields, which can effectively solve information-overload in massive data on Internet. This paper introduces the development and applications of personalized recommendation technology,including several key problems. The different types of classical recommendation algorithms are analyzed in detail. It also lists the evaluation methods and criterions. In the end the future development of personalized recommendation are prospected.
出处
《山西大同大学学报（自然科学版）》
2015年第3期11-17,共7页
Journal of Shanxi Datong University(Natural Science Edition)
基金
山西省基础研究青年科技研究基金项目[2012021015]
长治学院校级科研项目[201418]
关键词
个性化推荐
海量数据
WEB挖掘
推荐算法
personalized recommendation
massive data
web mining
recommendation algorithm
