***** To join INSNA, visit http://www.insna.org *****
Ulrich, et al.
Hal and Paul wrote their recommender systems article a long time ago, when
people were more positive and less cynical about manipulation of such
systems.* What's the latest research?
*Note that Hal may have been the only non-cynical economist;-)
Valdis Krebs is right: it's easy to spoof many systems.
The ones I have been wondering about are YouTube, where "favorites" always
seem to include atonal young teens: singing, or stripping or both. I may
be naive, but I cannot believe that "cutie costume" or "my chemical
romance on new year's eve" -- both favorites at this moment -- really are
getting 100s, 1000s, and even tens of 1000s of votes.
Copying to the Communication & Info Tech section of the ASA, for their
interest and input.
Barry Wellman S.D. Clark Professor of Sociology NetLab Director
Centre for Urban & Community Studies University of Toronto
455 Spadina Avenue Toronto Canada M5S 2G8 fax:+1-416-978-7162
wellman at chass.utoronto.ca http://www.chass.utoronto.ca/~wellman
for fun: http://chass.utoronto.ca/oldnew/cybertimes.php
On Tue, 2 Jan 2007, SOCNET automatic digest system wrote:
> Date: Tue, 2 Jan 2007 00:00:24 -0500
> From: SOCNET automatic digest system <[log in to unmask]>
> Reply-To: Social Networks Discussion Forum <[log in to unmask]>
> To: [log in to unmask]
> Subject: SOCNET Digest - 31 Dec 2006 to 1 Jan 2007 (#2007-2)
> Date: Mon, 1 Jan 2007 20:54:28 +0100
> From: Ulrik Brandes <[log in to unmask]>
> Subject: Re: "People who viewed this item also viewed..." "People who bought this item also bought..."
> ***** To join INSNA, visit http://www.insna.org *****
> On Sun, Dec 31, 2006 at 03:19:55PM -0500, Valdis Krebs wrote:
> > Been doing that for years, Bill...
> > http://www.orgnet.com/booknet.html [1999!]
> > On Dec 31, 2006, at 2:05 PM, Bill.Richards wrote:
> > >An interesting approach to gathering network data?
> > >
> > >http://www.aggregateknowledge.com/index.html
> While I think Bill was referring to a particular data collection method,
> for those interested in principles and techniques I'd recommend [sic]
> to start looking at the vast literature on "recommender systems," or
> "collaborative filtering" as a variant was called in 1992.
> An easy starter, cited several hundred times since, is
> Paul Resnick and Hal R. Varian
> Recommender systems
> Communications of the ACM 40(3):56-58, 1997
> ACM Press
> Best regards,
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