This entry was posted on Tuesday, March 20th, 2007 at 8:39 am and is filed under Internet News. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.
PeerSpective (peerspective.mpi-sws.mpg.de), is a project exploring the potential for using social networks to help guide web search. Social networks can be used to help web search locate documents which are currently difficult to find . ” PeerSpective transparently idexes all browsed web content, and when a Google search is performed , the proxy queries Google in parallel with the user’s friend’s proxies, ” says project leader Alan Mislove of Rice University, Texas. Social networks give an opportunity for search engine to learn the interests of people within a certain community- for example , by looking at the content they select. Also this knowledge can be used to refine its selection and ranking of search results for anyone with a profile. This then is search for the MiSpace generation . Alan Missolve adds that the problem with today’s search engines is that they rank and select search results according to the interests of the web community at large. If the search engine knew more about the interests and backround of a particular user, it could select and rank search results accordingly.