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Prediction of media selection consumption using analysis of user behavior

  • US 9,462,313 B1
  • Filed: 08/31/2012
  • Issued: 10/04/2016
  • Est. Priority Date: 08/31/2012
  • Status: Active Grant
First Claim
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1. A method of facilitating prediction of a number of times a selection of media content will be consumed by one or more users at a target time, the method comprising:

  • identifying a set of media selections;

    selecting a plurality of input features, the input features comprising examples of user behavior occurred during consumption of the identified set of media selections;

    separating the identified set of media selections into a training set and an evaluation set;

    upon separating the identified set of media selections into the training set and the evaluation set, transforming selected input features from the plurality of input features into a training set feature vector corresponding to a media selection from the training set, the training set feature vector comprising features descriptive of the user behavior during consumption of the media selection from the training set;

    deriving a learned function defining a relationship between the training set feature vector corresponding to the media selection from the training set and a number of times the media selection from the training set is consumed at the target time; and

    applying the learned function to a feature vector of input features from a media selection from the evaluation set to predict the number of times the media selection from the evaluation set is to be consumed at the target time.

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