recommendation-system 4

The IMDb Top 250, as a source of movies, dries out quickly. In my case, I’ve seen about 175/250. Not sure how much I want to see the rest. When chatting with Col Needham (who’s working his way through every movie with over 40,000 votes), I came up with this as a useful way of finding what movies to watch next. Each box is one or more movies. Darker boxes mean more movies. Those on the right have more votes. Those on top have a better rating. The ones I’ve seen are green, the rest are red. (I’ve seen more movies than that – just haven’t marked them green yet :-) ...

Netflix has released a sample of its customers’ movie ratings at Netflix Prize. You can download these (700 MB), create an algorithm that rates the training data, run it against the test data, and see if you can get better ratings than their algorithm. If you do, you win $1 million. (Chris Anderson explains why.)

Live Plasma. An interesting way to explore music and movies. Great visual design too.

Findory. Their site says: Just click on the articles which interest you. No signup required. The more you click, the more personalized your Findory homepage will be. Enjoy a great Personalized newspaper!