System and method for labeling a content item based on a posterior probability distribution
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United States of America Patent
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Jun 3, 2014
Grant Date -
Jun 19, 2008
app pub date -
Dec 19, 2006
filing date -
Dec 19, 2006
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Abstract
The present invention is directed towards systems and methods for the classification or scoring of content items. The method according to one embodiment comprises providing at least one labeled content item as input to an initial classification model, a given labeled item having at least one feature, a given feature being associated with a weight, computing a posterior probability of the initial classification model for the given labeled content item and generating an updated classification model using the initial classification model and the weight associated with the given feature in the given labeled content item. The updated classification model is applied to an unlabeled content item to determine a score for the unlabeled content item.
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