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http://dx.doi.org/10.9717/kmms.2011.14.4.567

A Web Contents Ranking System using Related Tag & Similar User Weight  

Park, Su-Jin (경원대학교 전자계산학과)
Lee, Si-Hwa (경원대학교 전자계산학과)
Hwang, Dae-Hoon (경원대학교 전자계산학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.4, 2011 , pp. 567-576 More about this Journal
Abstract
In current Web 2.0 environment, one of the most core technology is social bookmarking which users put tags and bookmarks to their interesting Web pages. The main purpose of social bookmarking is an effective information service by use of retrieval, grouping and share based on user's bookmark information and tagging result of their interesting Web pages. But, current social bookmarking system uses the number of bookmarks and tag information separately in information retrieval, where the number of bookmarks stand for user's degree of interest on Web contents, information retrieval, and classification serve the purpose of tag information. Because of above reason, social bookmarking system does not utilize effectively the bookmark information and tagging result. This paper proposes a Web contents ranking algorithm combining bookmarks and tag information, based on preceding research on associative tag extraction by tag clustering. Moreover, we conduct a performance evaluation comparing with existing retrieval methodology for efficiency analysis of our proposed algorithm. As the result, social bookmarking system utilizing bookmark with tag, key point of our research, deduces a effective retrieval results compare with existing systems.
Keywords
Web 2.0; Tag; Web Contents; Social Bookmark; Ranking; Social Network;
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