[mythtv-users] possible p2p approach for mythtv information?

Brad Templeton brad+myth at templetons.com
Mon Jul 3 18:31:34 UTC 2006


On Mon, Jul 03, 2006 at 04:03:45PM +0200, tom roth wrote:
> >The idea of sharing other information has been discussed in the past
> >on thsi list also, and I think one of the major problems would be
> >ensuring people don't screw up the data (possibly deliberatly).  For
> >example, someone could flag part of a programme as a commercial, which
> >would effect everyone who relies on that data.
> >
> >Cheers,
> >Whytey
> >
> >
> For cutlist info you are probably right, but what i came up with recently is
> trusted networks for recommendations on recordings. Think of it as gnus (the
> emacs newsreader) for videos.

Actually, cutlist/perfect commercial flag is one of the ones you can make work
because you would aggregate the data of lots of people, and throw out the
edge cases.   It's not even so much a cutlist concept.  All you really have
to do is watch what people watch at regular speed, and see what they skip
or FF over, including use of myth commercial skip.   For example, with
commercial skip, you hit the button and find it went too far.  So you use
the back-8-sec button a couple of times and watch that stuff at normal speed,
this can be seen and shared.

Soon it converges on where the real break points are.

However, Isaac has said, if I understand it correctly, that he would require
collaborative tools be run through his servers.   So you would need to
work with him on it.
> 
> This could work as follows:
> Configure MythRecommendation to use a reserved part of your strorage
> (basicaly a quota).
> Until this quota is reached mythtv would start recording any recomendations
> it  gets.
> Next a ruleset will give weight to the recommendating person, the channel,
> keywords in the titel etc.. based by your behaviour or explicit settings.

Well, tvwish (my program) already has a feature to let you import recommendation
lists from a web URL.    Build a tool to aggregate recommendations into
a file on the web and you have it.


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