Nocturnal taps into the bookmarks and previously visited pages for contacts
in the MSN Messenger buddy list to filter search results.
"There has been a lot of talk of social communities, but it's been hard to
bootstrap the process," said
Dahlia
Malkhi, a researcher with Microsoft Research. "We use the buddy list to
determine the social community."
Using information from users associated with the searcher will make for more
accurate results, Malkhi argued.
The technology allows a search engine to push the most relevant result for an
individual user to the top of the page, rather than it being buried on the
second or third page.
It will also help in the battle against search engine spam where spammers try
to fool engines into including irrelevant search results.
Malkhi's friends, for instance, are more likely to be looking for information
about the researcher when they submit her first name, Dahlia, as a search query,
whereas the general public is most likely to be looking for information on the
flower.
To address privacy concerns, users will have to opt in to share their
information. They can also set the breadth of their peer group, which can range
from people on their buddy list or include their buddies' buddies and their
buddies.
The project is currently a prototype using the
MSN
Live Messenger Beta. Malkhi said that the technology is ready to be
launched, but could not comment on concrete plans to use it.
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