中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Semi-supervised learning for personalized web recommender system

文献类型:期刊论文

作者Zhu, Tingshao; Hu, Bin; Yan, Jingzhi; Li, Xiaowei
刊名Computing and informatics
出版日期2010
卷号29期号:4页码:617-627
关键词Web behavioral modeling Data mining Computational cyberpsychology
ISSN号1335-9150
通讯作者Hu, bin(bh@lzu.edu.cn)
英文摘要To learn a web browsing behavior model a large amount of labelled data must be available beforehand however, lieu often the labelled data is limited and expensive to generate, since labelling typically requires human expertise it could be even worse when we want to train personalized model this paper proposes to train a personalized web browsing behavior model by some-supervised learning the preliminary result based on the data from our user study shows that semi-supervised learning performs fairly well even though there are very few labelled data we can obtain from the specific user
WOS关键词QUERIES
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
语种英语
WOS记录号WOS:000284193100009
出版者SLOVAK ACAD SCIENCES INST INFORMATICS
URI标识http://www.irgrid.ac.cn/handle/1471x/2407952
专题中国科学院大学
通讯作者Hu, Bin
作者单位1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Tingshao,Hu, Bin,Yan, Jingzhi,et al. Semi-supervised learning for personalized web recommender system[J]. Computing and informatics,2010,29(4):617-627.
APA Zhu, Tingshao,Hu, Bin,Yan, Jingzhi,&Li, Xiaowei.(2010).Semi-supervised learning for personalized web recommender system.Computing and informatics,29(4),617-627.
MLA Zhu, Tingshao,et al."Semi-supervised learning for personalized web recommender system".Computing and informatics 29.4(2010):617-627.

入库方式: iSwitch采集

来源:中国科学院大学

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。