Can social bookmarking improve web search? I'm spending quite a lot of time on my courses these days talking about alternative methods of searching, and social bookmarking and networking systems are increasingly high on the agenda. This is a very interesting paper that points out just how much you can do with these systems. The summary is:
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.
Hi Phil, we’ve just launched a web search service that does exactly this! FuzzFind.com (http://www.fuzzfind.com) is a mashup that combines the power of the major search engines and social bookmarking sites to make it easier to find and identify the most relevant information.
Results are grouped together and sorted according to the search engine rankings plus the popularity of the sites according to the social bookmarking community.
Please check it out, we welcome any feedback so that we can improve. Thanks!
Posted by: FuzzFind Administrator | December 31, 2007 at 04:20 PM