Bayesian Filters Predict Sundance

JohnGrahamCumming writes "The LA Times reports on a company's use of Bayesian filtering to predict the winners at the Sundance Film Festival. They use a modified POPFile email filter and claim an 81% success rate."

Comments

Filter Mods

[Anonymous Coward]

Angsty +2
Depressing +2
Happy or Inspirational -1
Featuring charaters of a marginalized societal group +10
Featuring charaters of a majority societal group -10
Making those majority characters feel guilty +20
Political Agenda +10
Social Agenda +10
Leftist Social & Political Agenda +50
Non-acting acting +3
Use of black and white film +1
Sense of Humor -5
Comedy film -100
Intellectual +1
Pseudo-intellectual +30
Director dresses in all black +4
Actors dress in all black +10
Actors dress in all black and do interpretive dance to Phillip Glass music while speaking German backwards +20
Audience participates and dances with the actors in above scenario +1000
Would actually generate box office revenue -100
Good movie that would appeal to more than a niche audience -20

Bayesian for Slashdot

[bhima]

I've been thinking about this for a while...

Someone should develop a client side Bayesian Filter / Moderation system for Slashdot.

Think about it...

A sizable portion of people around here are not consistantly assholes so it doesn't really make sense to add them to a "foe" list.
Frequently things are in strange topics so it doesn't make sense to ignore whole topics.
Not all new members are trolls so modding all new members down doesn't make sense either.
And the current moderation system is subjected to other people's current peeves and political leanings.

And please don't tell me to do it, I'm an embedded developer not a web developer... I have no idea where to even begin with it.

Re:Fuck films...

[DeveloperAdvantage]

There are many examples of using statistics and artificial intelligence in finance (go google), including some applications to predict stock prices. Even a decade ago, books like "Neural Networks in Finance and Investing" and "Artificial Intelligence in the Capital Markets" were already published, along with hordes of books on statistics in finance (think about what Quants do).

Of course, I don't think we can yet predict stock prices with the same 81% accuracy as in this article. And, if anyone could, they would be wise to keep it to themselves.