FM data-mining endeavor

[slavatrumpevitch]

Hey guys,

I'm a long-time thief fan (started in '98 with TDP as a 9 year old) and have always wanted to find a meaningful way to contribute to the community.

I'm awful with dromEd, and don't know the first thing about modeling, so I never quite knew what I had to offer here: until now!

I just graduated with a degree in statistics, and have many-month break before starting a econometric-heavy PhD program: long story short: I'm good with data.

With all the amazing FMs out there, and our wide-variety of tastes, how great would it be to have a system to accurately recommend FMs based on other FMs you've enjoyed/not enjoyed, and even (potentially) your *reasons* for enjoying/not enjoying a partciular FM?!

To pull this off would require a good bit of community help, however. Is there interest in such an endeavor?

[klatremus]

I would be interested and would definitely give my two cents on the missions I've completed. Stay motivated and we might have a great thing going here!

[Gloria Creep]

You can count on me too

[intruder]

There is the Dark Wiki and it's Fan Mission pages which use tags:
The Dark Wiki - Fan Missions

Might be a good starting point.