摘要
为了更好地解决信息超载的问题,个性化推荐系统应时而生,有效地解决了这一复杂问题。目前,个性化推荐系统已经在国内得到了广泛的应用和关注。本文系统地研究了算法分类并总结了国际学术界的各种个性化推荐系统算法,重点介绍了其优缺点和不同的推荐算法性能及其评价指标。提出了今后的研究重点、难点和推荐系统的一些热点问题。
In order to better solve the complex problem of information overload,personalized recommendation system comes into being and effectively solves this complex problem.At present,personalized recommendation system has been widely used and concerned in China.This paper systematically studies and summarizes various personalized recommendation system algorithms in the current international academic circles,summarizes the existing personalized recommendation system algorithms in the world,and focuses on its advantages and disadvantages,different recommendation algorithm performance and evaluation indicators.Finally,this paper focuses on the future research focus,difficulties and some hot issues of recommendation system.
作者
石媛
SHI Yuan(School of Computer Science,Xi'an Shiyou University,Xi'an 710065,China)
出处
《智能计算机与应用》
2020年第8期110-112,共3页
Intelligent Computer and Applications
关键词
信息超载
个性化推荐
性能评价
information overload
personalized recommendation
performance evaluation
