Abstract
Recently, Social Bookmark, which allows us to register and share our own bookmarks on the web, is attracting attention. Social Bookmark makes it possible to retrieve structured data such as (URL, Username, Timestamp, Set of tags). More importantly, the retrieved data represents user interests. There are two aspects of bookmark usage: data for reuse and data for hot issues. This paper, focusing on timestamps of bookmarks, proposes a way to measure the freshness of a web page. It further proposes a page evaluation method that improves S-BITS, our previously proposed method to evaluate informativeness of web pages using social bookmarks, using the freshness evaluation. Finally, it demonstrates the effectiveness of the proposed method through experiments.
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Takahashi, T., Kitagawa, H. (2009). A Ranking Method for Web Search Using Social Bookmarks. In: Zhou, X., Yokota, H., Deng, K., Liu, Q. (eds) Database Systems for Advanced Applications. DASFAA 2009. Lecture Notes in Computer Science, vol 5463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00887-0_51
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DOI: https://doi.org/10.1007/978-3-642-00887-0_51
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