[mythtv-users] Announcing TVWish Beta -- A super wishlist for Myth

[Greg Depasse]

On Tue, 1 Mar 2005 13:36:21 -0800, Brad Templeton
<brad+myth at templetons.com> wrote:
> 
> There are many types of suggestion engines I have been thinking about.
> 
> Many people are familiar with Tivo's, which takes the log of what you
> have recorded, or given thumbs up/down to, and remembers things like
> titles, genres, actors and such.  It then scans all new programming and
> gives weights to how closely they match what it remembers and generates
> suggestions from the best weights.
> 
> One could code this for myth without any external data (though right now
> myth I believe discards much of this information once a show has past, or
> so I gather from looking at the tables that appear to contain it.)
> 
> If you want to amalgamate data from other users, I am not sure how to
> efficiently do that with a server running on your own machine.  You could
> have people just upload anonymized data to an open server which simply
> gathers the raw data, and then the user's own machine sucks it down and
> analyses it to generate suggestions.  That seems to involve a lot of
> data flow, or am I missing your goal.
> 

I saw this white paper written by a couple of Tivo engineers on how
their collaborative recommendation system works.  It's pretty
interesting.  Perhaps it could provide some benefit here.

Original Word Doc:
http://www.ics.uci.edu/~pazzani/Personalization/ali-kdd04.doc

Google HTML cache:
http://216.239.57.104/search?q=cache:EiwJD7vqU5gJ:www.ics.uci.edu/~pazzani/Personalization/ali-kdd04.doc%20%22determined%20by%20which%20channels%20are%20received%20at%20that%20TiVo%22&hl=en

-Greg