常州大学学报（自然科学版）2017，Vol.29Issue(3)：51-59,9.DOI:10.3969/j.issn.2095-0411.2017.03.008
个性化推荐系统综述
Overview of Personalized Recommendation Systems
刘辉 1郭梦梦 1潘伟强1
作者信息
- 1. 常州大学 商学院,江苏 常州 213164
- 折叠
摘要
Abstract
Personal recommendation as the effective tool to tackle the "information overload" problem has attracted wide attention of many researchers.In this paper, we make some categorizations and reviews for the personalized recommendation algorithms that under the Electronic Commerce circumstances, we also summarize the strength and weakness of these algorithms as well as measures used in performance evaluation of personal recommendation systems;personalized recommendation algorithms has a perfect foreground.However, in personal recommendation systems, we still need an effective solution of cold start, data sparsity and scalability issues.关键词
信息超载/个性化推荐/性能评价Key words
information overload/personal recommendation/performance evaluation分类
信息技术与安全科学引用本文复制引用
刘辉,郭梦梦,潘伟强..个性化推荐系统综述[J].常州大学学报（自然科学版）,2017,29(3):51-59,9.
