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 [...]
Posts Tagged ‘netflix’
Netflix Prize Update: I am Not Alone
Posted in data mining, economics, media, tagged algorithms, netflix, netflix prize on November 22, 2008 | Leave a Comment »
Netflix Prize Progress
Posted in data mining, information theory, media, online advertising, traffic, tagged clusting, data mining, kNN, nearest neighbor, netflix, netflix prize on July 27, 2008 | Leave a Comment »
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 [...]
Blogs Promote Research Laziness
Posted in blogs, research, tagged blogs, imdb, lazy, mistakes, movie statistics, netflix, research on May 10, 2008 | Leave a Comment »
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 [...]
Netflix Prize Nearly Solved
Posted in data mining, information theory, tagged netflix, netflix prize, RSME on May 9, 2008 | 1 Comment »
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 [...]
