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Posts Tagged ‘netflix’

Looks like most other folks still messing around in the netflix competition are in a similar situation as myself.
This new article on NYtimes gives some decent insight into the folks still working on it and the remaining challenges to winning the prize.
The article discusses one of the problems I’ve found too.  Movies that actually suck [...]

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Well I’m in the process of getting somewhere finally, let’s put it that way.  My initial efforts were piss poor with only slightly interesting improvements using some ad hoc messing with means and brute force approaches.  Nothing I did would get me into the leader board.
Of course, I could just take what all the leaders [...]

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A couple of posts ago I made a mistake in my data assumptions on the number of movies in available for recommendation.  IMBD gives a better idea… i was off by about 20x.  hahaha.  yikes.
The other day i was making a point to someone about how the blog medium promotes research laziness.  Here I prove [...]

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http://www.netflixprize.com/leaderboard
Check out the leaderboard.  The recent progress by the top four teams has been impressive recently.
BellKor should win this within 2 months.  They also showcase a key point in their blog.  To achieve practical results you don’t need a crazy model with a lot of predictors.
I’ve yet to figure out why they spend $1,000,000 on this [...]

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In October of 2006, Netflix released a $1,000,000 contest to improve their rating prediction/movie recommendation algorithms.  No one has won the prize yet (surprisingly).
I read the latest wired mag (i know, i know) which featured a contestant.  I’m easily inspired to work on difficult challenges.  I figure this will be good learning AND good research [...]

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