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Automatic Rating Optimization

  • US 20140081991A1
  • Filed: 09/17/2012
  • Published: 03/20/2014
  • Est. Priority Date: 12/15/2006
  • Status: Active Grant
First Claim
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1. A method, comprising:

  • receiving, by a content rating system, ratings that are associated with content, wherein the ratings are received from rating sources;

    ascertaining, by the content rating system, whether the rating sources accessed the content for which the ratings were received;

    determining, by the content rating system, an effect each of the ratings has on popularity of the content;

    weighting, by the content rating system, at least one of the ratings, the weighting being based upon results of the determining and ascertaining steps, wherein;

    the weight of the rating is increased if the rating comprises a positive rating and the popularity of the content increases;

    the weight of the rating is increased if the rating comprises a negative rating and the popularity of the content decreases; and

    the weight of the rating is increased if the rating source accessed the content;

    the weight of the rating is decreased if the rating is a negative rating and the popularity of the content does not decrease;

    the weight of the rating is decreased if the rating comprises a positive rating and the popularity of the content does not increase; and

    the weight of the rating is decreased if the rating source did not access the content;

    associating, by the content rating system, the rating sources with preference profiles based on consumption habits of the rating sources; and

    determining, by the content rating system, a degree of relatedness between a preference profile associated with the rating and preference profiles of each of the rating sources, wherein the weighting of the rating is further based upon a degree of relatedness between the preference profile associated with the rating and the preference profiles associated with the rating sources, and wherein the weighting comprises increasing the weight of the rating if the preference profile of the rating and the preference profiles of the rating sources are determined to have a high degree of relatedness and the weighting comprises decreasing the weight of the rating if the preference profile of the rating and the preference profiles of the rating sources are determined to have a low degree of relatedness.

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