Collaborative Filtering: Netflix Prize
- Speaker(s)
- Arkadiusz Paterek
- Affiliation
- Uniwersytet Warszawski
- Date
- Dec. 14, 2006, 12:15 p.m.
- Room
- room 5870
- Seminar
- Seminar Algorithms
In this talk, I will present different algorithms for the collaborative
filtering task. The task of collaborative filtering is to predict
the preferences of a user, given preferences of other users.
An example of a commercial collaborative filtering system is the movie
recommendation algorithm Netflix's Cinematch, which predicts the customer's
rating for a given movie. Recently, Netflix, the world's largest online DVD
rental service, released to the public a large database of 17770 movies,
rated by 480189 customers, and announced a $1M prize for 10% improvement
in prediction accuracy over Cinematch on the dataset.
I will give an overview of my solution - better than Cinematch by over 3%.