Exploitation and use of social annotations in information search
Today, with the strong growth of the internet, the search service has been developed rapidly, support web users to easily search for their information. However, with the explosion of information is increasingly enormous, how to return search results satisfy the user remains a difficult problem. Currently, many web-based bookmark systems (such as delicous.com) allow users to easily share and organize their favorite web pages online by using social annotations. The goals of this paper are: 1) exploiting social annotations from delicous.com; 2) using the similarity measure (Social Similarity Ranking) and measure the popularity of the web page (SocialPageRank), build search engine to assist users to search quickly and efficiently. Preliminary experimental results show that the social annotations based search results are very positive.
Keywords: Social annotation, social page rank, social similarity ranking, information search
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ABOUT THE AUTHORS
Vu Thanh Nguyen
Prof.Dr.Dean of Software Engineering Faculty
Tran Anh Dung
Master of Computer Science, Lecturer of Software Engineering Faculty
Vu Thanh Nguyen
Prof.Dr.Dean of Software Engineering Faculty
Tran Anh Dung
Master of Computer Science, Lecturer of Software Engineering Faculty