Exploring Social Annotations with the Application to Web Page Recommendation

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Exploring Social Annotations with the Application to Web Page Recommendation
	Li, Hui-Qian 1; Xia, Fen 1; Zeng, Daniel1,2 ; Wang, Fei-Yue1 ; Mao, Wen-Ji1
刊名	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
	2009-11-01
卷号	24 期号:6 页码:1028-1034
关键词	graphic model EM (expectation-maximization) social annotation tag recommendation
英文摘要	Collaborative social annotation systems allow users to record and share their original keywords or tag attachments to Web resources such as Web pages, photos, or videos. These annotations are a method for organizing and labeling information. They have the potential to help users navigate the Web and locate the needed resources. However, since annotations are posted by users under no central control, there exist problems such as spam and synonymous annotations. To efficiently use annotation information to facilitate knowledge discovery from the Web, it is advantageous if we organize social annotations from semantic perspective and embed them into algorithms for knowledge discovery. This inspires the Web page recommendation with annotations, in which users and Web pages are clustered so that semantically similar items can be related. In this paper we propose four graphic models which cluster users, Web pages and annotations and recommend Web pages for given users by assigning items to the right cluster first. The algorithms are then compared to the classical collaborative filtering recommendation method on a real-world data set. Our result indicates that the graphic models provide better recommendation performance and are robust to fit for the real applications.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
研究领域[WOS]	Computer Science
关键词[WOS]	MODELS
收录类别	SCI
语种	英语
WOS记录号	WOS:000271535700005
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3559]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
作者单位	1.Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China 2.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
推荐引用方式 GB/T 7714	Li, Hui-Qian,Xia, Fen,Zeng, Daniel,et al. Exploring Social Annotations with the Application to Web Page Recommendation[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2009,24(6):1028-1034.
APA	Li, Hui-Qian,Xia, Fen,Zeng, Daniel,Wang, Fei-Yue,&Mao, Wen-Ji.(2009).Exploring Social Annotations with the Application to Web Page Recommendation.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,24(6),1028-1034.
MLA	Li, Hui-Qian,et al."Exploring Social Annotations with the Application to Web Page Recommendation".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 24.6(2009):1028-1034.