Exploring Social Annotations with Application to Web Page Recommendation
Hui-Qian Li1; Fen Xia1; Daniel Zeng1,2; Fei-Yue Wang1; Wen-Ji Mao1
Source PublicationJournal of Computer Science and Technology
AbstractCollaborative 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.
KeywordGraphic Model Em (Expectation-maximization) Social Annotation Tag Recommendation
Document Type期刊论文
Corresponding AuthorHui-Qian Li
Affiliation1.Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences Beijing 100190, China
2.Department of Management Information Systems, University of Arizona, Tucson AZ 85721, U.S.A.
Recommended Citation
GB/T 7714
Hui-Qian Li,Fen Xia,Daniel Zeng,et al. Exploring Social Annotations with Application to Web Page Recommendation[J]. Journal of Computer Science and Technology,2009,4(6):1028-1035.
APA Hui-Qian Li,Fen Xia,Daniel Zeng,Fei-Yue Wang,&Wen-Ji Mao.(2009).Exploring Social Annotations with Application to Web Page Recommendation.Journal of Computer Science and Technology,4(6),1028-1035.
MLA Hui-Qian Li,et al."Exploring Social Annotations with Application to Web Page Recommendation".Journal of Computer Science and Technology 4.6(2009):1028-1035.
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