![]() |
|
![]() |
![]() |
|
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
[Subscribe]
Re: DM: Performance of collaborative filtering algorithmsFrom: iparsa Date: Mon, 31 Jul 2000 02:08:20 -0400
Larry, please check-out Hal Varian's site on collaborative filtering.
http://www.sims.berkeley.edu/resources/collab/
It's by far the best resource I know (it may be slightly outdated
by now.) Also there was a SIGIR workshop on this. You can
find additional information in URL:
http://www.cs.umbc.edu/~ian/sigir99-rec/summary.html
There was also a workshop in AAAI some year's ago.
You can find that in AAAI's vook store. There is also a mailing list
on collaboartive filtering. You can also follow the threads
through Hal's site.
Regards,
Ismail Parsa
Epsilon
Larry Bookman <lbookman@torrent.com>@nautilus-sys.com on 07/25/2000
09:59:49 PM
Please respond to datamine-l@nautilus-sys.com
Sent by: owner-datamine-l@nautilus-sys.com
To: datamine-l@nautilus-sys.com
cc:
Subject: DM: Performance of collaborative filtering algorithms
Hi
Are there any papers in the research literature that document the
performance of collaborative filtering algorithms compared to other
algorithmic approaches (eg SVM approaches)? I am familiar with Breese,
Heckerman, and Cadie's paper "Empirical analysis of predictive algorithms
for collaborative filtering." In particular, anecdotal evidence suggests
that collaborative filtering algorithms do not scale. Are there any studies
that show this to be the case?
Thanks
Larry Bookman
|
MHonArc 2.2.0