A Literature Survey on Ranking Tagged Web Documents in Social Bookmarking Systems
Nisar Muhammad Nisar Muhammad · IOSR Journal of Computer Engineering · 2013
Social web applications like Facebook, YouTube, Delicious, Twitter and so many others have gained popularity among masses due to its versatility and potential of accommodating cultural perspectives in Social web paradigm.Social bookmarking systems facilitateusers to store, manageand share tagged web documents through folk classification system.These social toolsallow its users to associate free chosen keywords (tags) with documents for future considerations.Social tags reflect not only human cognition on contents the document contains inbut also used as index-terms in social searching.However search results associated with query-tags are randomly ordered either by popularity, interestingness or reverse chronological order with most recent bookmarks on top of search results, which limits the effectiveness of information searching in social bookmarking systems.A lot of research works have already been published to tickle the problem by exploiting different features of folksonomy structure.This survey provides a brief review of state-ofthe-art, challenges and solutions towards recommending and ranking tagged web documents in Social Bookmarking Systems (SBS).