发明名称 |
Machine learned classifiers for rating the content quality in videos using panels of human viewers |
摘要 |
A multi-phase process first trains a machine learned rating classifier, and then uses the rating classifier to automatically rate videos in a selected category in a way which mimics human rating. Panels of human viewers rate videos in tuples, and these tuples along with human preference data distilled from the ratings are used to create a training set that is used to train the machine learned rating classifier. The rating classifier becomes capable of predicting human preferences with regards to videos in the selected category. Optionally a second machine learned classifier can be trained to automatically identify videos in the selected category for the panels of human viewers to rate. The output of the multi-phase process can be used to highlight content that is predicted to be higher quality. |
申请公布号 |
US8706655(B1) |
申请公布日期 |
2014.04.22 |
申请号 |
US201113152978 |
申请日期 |
2011.06.03 |
申请人 |
RANGARAJAN ANAND;DUHADWAY CHARLES;ARADHYE HRISHIKESH BALKRISHNA;GOOGLE INC. |
发明人 |
RANGARAJAN ANAND;DUHADWAY CHARLES;ARADHYE HRISHIKESH BALKRISHNA |
分类号 |
G06F15/18 |
主分类号 |
G06F15/18 |
代理机构 |
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