So, I really like the way iConcertCal works. It creates a calendar of events that I am likely to be interested in by reading in the bands in my iTunes Library and running the list against a number of upcoming concert feeds. I call this Preference Mining.
Although I started off with no explicit intention of creating a definitive store for my music tastes in iTunes, over time and regular usage my iTunes music library has come to represent a repository of my musical tastes - iConcentCal comes in after the fact and scans the repository and based on my preferences for music and without any additional input from me populates a really useful calendar.
Note, it does not recommend new bands I might like based on my library (which is good since recommending music is not a task well performed via algorithm).
iConcertCal looks at accumulated data and presents something concrete that correlates directly to the accumulated data and in doing so extracts real value (in the form of time savings and entertainment) from the data.
The way iConcertCal works has me thinking of other places I have been accumulating preference data:
Amazon (obvious)
Tivo
In databases at Visa, Mastercard, and Amex
OPML
Bookmarks
and seriously in Quicken.
I'm sure there is a longer,smarter list, but that's mine for this post.
Preference Mining in Quicken - is there an API that would allow that? My OPML file might be an easier place to start.
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