Re: [mythtv-users] Naive bayes -> Suggestions

2005-08-05 Thread Jay Jarvinen
On Fri, 05 Aug 2005 01:34:46 -0700
Matt Waddell <[EMAIL PROTECTED]> wrote:

> Ahoy,
> 
> I have been experimenting with learning algorithms which
> make content suggestions to the user.  The only one
> I have implemented so far is a naive bayes classifier, and
> it seems to be working pretty well... although for me
> it has been suggesting a few confusing things.

Hey Matt, just browsing the code now, cool stuff.

The link Nick Rout just provided took some of the steam out of my post,
before I hit send ;)

It (the MythBayes page) mentions:

"Central database somewhere that Myth could submit people's viewing
habits to so you could get an Amazon.com-style .." [snip]

I was going to suggest a collaborative-database/social-bookmarks type
thing, to help supplement the algorithm.

Personally, after months of MythTV usage, and only recording new-to-me
episodes, I've had to expand my list of shows to record, just to keep a
daily supply of new recordings. Did I mention? I cringe at the thought
of commercial-packed live TV now. (Truth is, I like to see a fresh batch
every day, even if I only watch half of it .. OCD maybe, I dunno).

This thread titled 'recommendations' section, seems relevant as well:
http://www.gossamer-threads.com/lists/mythtv/dev/13964

Despite my best efforts to find non-crap and keep my tuner recording
24/7, it still goes idle for hours on end. So, I'd use any feature that
fought against an idle recorder. Not so that I'll have 24+ hours of
on-demand TV available, but so that I may choose more wisely from a
better selection.
 
What I have in mind for 'collaborative', is basically syndicated
'favorites' from willing (anonymous) MythTV participants. A "trust me,
this is good TV" flag - that would help steer an automated algorithm.

In the event the algorithm is 'confused' about what to suggest, a quick
check of 'public opinion', as it were, seems more logical than a coin
toss, black magic, or arbitrary choice based on priorities or other
hard-coded mechanism. In short, if you could whip up a Fuzzy Logic +
Bayes + Myth-del.icio.us plugin, and have it and* those T.P.S. reports
by Monday, that'd be super. ;)

Especially in regard to an idle recorder, that (feature) alone might
help me pick up a better, more diverse group of programs, and some that
I might never have chosen on my own.

Yesterday's a perfect example, X-Games 11 on ESPN just started, I
wouldn't have caught it, but I happened to browse the guide earlier this
week (rare for me). Maybe I'm the only one recording it, albeit at low
priority, but I doubt it.

As Blaise Pascal put it, "I apologize for the length of this letter, for
I lacked the time to make it shorter."

-Jay

p.s. I'd have yet another project underway, of this nature, if I'd
finished POE-Component-Client-MythTV already.
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Re: [mythtv-users] Naive bayes -> Suggestions

2005-08-05 Thread Nick Rout
You might want to look at this:

http://www.nexusuk.org/projects/mythtv/mythbayes/

On Fri, 2005-08-05 at 01:34 -0700, Matt Waddell wrote:
> Ahoy,
> 
> I have been experimenting with learning algorithms which
> make content suggestions to the user.  The only one
> I have implemented so far is a naive bayes classifier, and
> it seems to be working pretty well... although for me
> it has been suggesting a few confusing things.
> I don't have a patch ready yet, but you can grab the
> branch from its repository and try it out.  If anyone is
> interested I could write up a quick bit of text on how
> to use it.
> 
> Its still pretty raw, but usable.   The plan is
> to train the thing with a similar interface to
> the TiVo--while you are watching, and browsing
> through the channel guide n' such.
> 
> http://linuxlab.cs.pdx.edu/~mwadd/?q=download
> 
> Later,
> _Matt Waddell
> 
> 
> ___
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> mythtv-users@mythtv.org
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-- 
Nick Rout <[EMAIL PROTECTED]>

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[mythtv-users] Naive bayes -> Suggestions

2005-08-05 Thread Matt Waddell

Ahoy,

   I have been experimenting with learning algorithms which
make content suggestions to the user.  The only one
I have implemented so far is a naive bayes classifier, and
it seems to be working pretty well... although for me
it has been suggesting a few confusing things.
I don't have a patch ready yet, but you can grab the
branch from its repository and try it out.  If anyone is
interested I could write up a quick bit of text on how
to use it.

Its still pretty raw, but usable.   The plan is
to train the thing with a similar interface to
the TiVo--while you are watching, and browsing
through the channel guide n' such.

http://linuxlab.cs.pdx.edu/~mwadd/?q=download

Later,
   _Matt Waddell


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