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Subject: 
Re: Opinions wanted: article rating harmful? (was: New feature: Article rating)
Newsgroups: 
lugnet.admin.general
Date: 
Fri, 21 Apr 2000 03:17:19 GMT
Reply-To: 
[mattdm@mattdm.org]stopspam[]
Viewed: 
2382 times
  
Todd Lehman <lehman@javanet.com> wrote:
Right; but pure numbers aren't really helping. Categorizing posts
by "usefulness" is downright inappropriate and unhelpful. Because what's
That's what the averaging effect is for -- to smooth that out.  If the system
also could learn what you liked, you might find that helpful.  (That's a long
way down the road, though.)

Smoothing what out, though? How does the system distinguish between "0: I
like posts about robots, but not in .castle" and "0: not interesting to me",
or "60: kinda funny if you're in the right mood" and "60: contains some
useful information but could be more complete"?

Also, I'm _very_ skeptical of the "match what you like" concept. It sounds
neat in practice, but I've never seen it implemented well.
homr/ringo/Firefly/bignote/launch/whateverthey'recallingthemselvestoday did
an ok job, but you'd have to do some serious language parsing/comprehension
stuff to make it work with news posts, even in such a narrow subject as
Lego.

--
Matthew Miller                      --->                  mattdm@mattdm.org
Quotes 'R' Us                     --->               http://quotes-r-us.org/
Boston University Linux             --->                http://linux.bu.edu/



Message has 1 Reply:
  Re: Opinions wanted: article rating harmful? (was: New feature: Article rating)
 
(...) It can't (and doesn't actually need to) distinguish that so greatly -- the bottom line (to it) would be that you disfavor posts about robots in castle and things that are kinda funny or contain some useful info. (...) I'm very skeptical about (...) (25 years ago, 26-Apr-00, to lugnet.admin.general)

Message is in Reply To:
  Re: Opinions wanted: article rating harmful? (was: New feature: Article rating)
 
(...) That's what the averaging effect is for -- to smooth that out. If the system also could learn what you liked, you might find that helpful. (That's a long way down the road, though.) (...) Will you still feel that way when there are 4x the (...) (25 years ago, 21-Apr-00, to lugnet.admin.general)  

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