Patent ID: 8286206
Filing Date: 2012-10-09
Classification: H04N

Abstract:
1. A method for optimizing ratings associated with content using a tangible, non-transitory content rating computer system, the method comprising: the content rating system receiving ratings, the ratings being associated with the content and being received from rating sources; the content rating ascertaining whether the rating sources accessed the content for which the ratings were received; the content rating system determining an effect each of the ratings has on popularity of the content, the determining comprising: the content rating system weighting at least one of ratings, the weighting being based, at least partially, upon results of the determining and ascertaining steps, wherein: the content rating system generating an average rating for the content, the average rating comprising at least two weighted ratings; and the content rating system providing the average rating to a rating distribution system configured to provide the average rating to potential consumers of the content; the content rating system associating the rating sources with preference profiles based on consumption habits of the rating sources; and the content rating system determining 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.