Collaborative filtering - WikipediaThis image shows an example of predicting of the user's rating using collaborative filtering. At first, people rate different items (like videos, images, games). After that, the system is making predictions about user's rating for an item, which the user has not rated yet. These predictions are built upon the existing ratings of other users, who have similar ratings with the active user. For insta
http://movsom.handproductions.se/papers/notes%20on%20recommender%20systems%20references/GroupLens%20an%20open%20architecture%20for%20collaborative%20filtering%20of%20netnews.pdf
