This can be done by leave-one-out cross-validation in a collaborative filtering system. If jane saw schindler's list and gave it 8/10, delete this from the data

This can be done by leave-one-out cross-validation in a collaborative filtering system. If jane saw schindler's list and gave it 8/10, delete this from the database and use the rest of the data to predict it, then compare the predicted score with the score she gave. I did this for a movie recommendation system i developed: http://www.fmjlang.co.uk/morse/MORSE-Paper.html http://www.fmjlang.co.uk/morse/MORSE-Paper.html