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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

  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
        for fun:

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  *****
> On Sun, Dec 31, 2006 at 03:19:55PM -0500, Valdis Krebs wrote:
> > Been doing that for years, Bill...
> >
> > [1999!]
> >
> >
> > On Dec 31, 2006, at 2:05 PM, Bill.Richards wrote:
> > >An interesting approach to gathering network data?
> > >
> > >
> 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,
> B.

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