Heymann, Paul and Koutrika, Georgia and Garcia-Molina, Hector (2007) Can Social Bookmarking Improve Web Search? Technical Report. Stanford.
Social bookmarking is a recent phenomenon which has the potential to give us a great deal of data about pages on the web. One major question is whether that data can be used to augment systems like web search. To answer this question, over the past year we have gathered what we believe to be the largest dataset from a social bookmarking site yet analyzed by academic researchers. Our dataset represents about forty million bookmarks from the social bookmarking site del.icio.us. We contribute a characterization of posts to del.icio.us: how many bookmarks exist (about 115 million), how fast is it growing, and how active are the URLs being posted about (quite active). We also contribute a characterization of tags used by bookmarkers. We found that certain tags tend to gravitate towards certain domains, and vice versa. We also found that tags occur in over 50 percent of the pages that they annotate, and in only 20 percent of cases do they not occur in the page text, backlink page text, or forward link page text of the pages they annotate. We conclude that social bookmarking can provide search data not currently provided by other sources, though it may currently lack the size and distribution of tags necessary to make a significant impact.
|Item Type:||Techreport (Technical Report)|
|Additional Information:||This document will be superseded by a camera-ready version when it becomes available.|
|Uncontrolled Keywords:||Social Bookmarking, Web Search, Collaborative Tagging Systems|
|Subjects:||Computer Science > Data Mining|
Computer Science > Databases and the Web
Computer Science > Digital Libraries
Computer Science > Semistructured Data
|Deposited By:||Import Account|
|Deposited On:||01 Nov 2007 17:00|
|Last Modified:||10 Dec 2008 17:05|
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