June 07, 2003

CAST and Information Overload

Roland links to this interesting press release discussing a prototype that can reduce information overload by anticipating what teams in the military need and provide them with only relevant data.

"This version of CAST provides support for teams by anticipating what information team members will need, finding commonalities in the available information and determining how that information should be processed," said John Yen, professor of information sciences and technology. "Decision making is made easier because the software offers only relevant data."

This stuff is way over my head (but I will try to read more about it), but isn't this exactly what we all want our aggregator to do? Bring only relevant content to us? Aggregators are still at their infant stage, I believe. There is so much more that can be done so that readers can save more time by only retrieving information that is relevant to them. I subscribe to over 200 news feeds, and only half of what I read is truly relevant to my work...I still have to do a lot of filtering (even though it doesn't take that long)

Roland also links to selected publications by the team leader, John Yen. This would make for an interesting topic for a research project in our field...

Posted by Steven at June 7, 2003 10:01 AM
Comments

Given the absence of TrackBack, here's what I posted in response:

I don't know Steven. I can't say I'm interested in aggregators that make relevance decisions on my behalf. All I want is a single mechanism to look at all *potentially* relevant sources. I can only imagine how much I would miss if what I read became based on an algorithm, even if that algorithm is constantly updated to reflect my reading patterns. Maybe it would be helpful if the program was able to highlight items it believed were *more* relevant, leaving the ultimate decisions to the end-user. I think the future of librarianship is still predicated on the idea that humans will always be the most subtle filters of relevance. Now an aggregator that helps me locate and identify potentially relevant sources, that would be something.

Posted by: Greg on June 7, 2003 11:47 AM
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