Patent ID: 8706655
Filing Date: 2014-04-22
Classification: G06Q,H04N

Abstract:
1. A computer-implemented method for training a machine learned rating classifier for rating the content quality of videos, the method comprising: receiving from a plurality of panels of human viewers, ratings associated with a plurality of tuples of videos of a selected category, the ratings indicating preferences of the human viewers for videos in the tuples; determining from the ratings, preferred videos in the tuples of videos, wherein each tuple has at least one preferred video selected responsive to the indicated preferences of the human viewers; creating a training set of training videos from the preferred videos in the tuples of videos; and training the machine learned rating classifier using the training set, the rating classifier configured to determine a rating of content quality of an unrated video of the selected category based on a correlation of the unrated video with the ratings associated with the plurality of tuples of videos of the selected category.