Collaborative Filtering Is Usually Done by Building a User-Item Ratings

Short Answer

Collaborative filtering is usually done by building a user-item ratings matrix where each row represents a unique user and each column gives the individual item rating made by the user. The resultant matrix is a dynamic, sparse matrix with a huge ________.