SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Successfully reported this slideshow.
Activate your 14 day free trial to unlock unlimited reading.
Collaborative filtering Idea: - If
two movies x, y get similar ratings then they are probably similar - If a lot of users all listen to tracks x, y, z, then those tracks are probably similar
Vectors are pretty nice because
things are now super fast - User-item score is a dot product: - Item-item similarity score is a cosine similarity: - Both cases have trivial complexity in the number of factors f: