Abstract
During the last decade, the use of community-based techniques has emerged in various data mining and search systems. Nowadays, many web search engines use social networking analysis to improve the search results. The present work incorporates one of the popular collaborative tools, called Social Bookmarking, into search. In the present paper, a technique, which utilizes Social Bookmarking information into search, is discussed.
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Baghi, H., Biletskiy, Y. (2009). Improving Document Search Using Social Bookmarking. In: Gao, Y., Japkowicz, N. (eds) Advances in Artificial Intelligence. Canadian AI 2009. Lecture Notes in Computer Science(), vol 5549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01818-3_19
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DOI: https://doi.org/10.1007/978-3-642-01818-3_19
Publisher Name: Springer, Berlin, Heidelberg
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