1. A computer-implemented method for ranking relevance of parameters of a content item, the method comprising: receiving, using at least one processing circuit, a plurality of parameters of a content item and a plurality of corresponding initial relevance scores of the parameters indicating relevance of the parameters to the content item; estimating, using a statistical model, a plurality of revised relevance scores from the initial relevance scores, wherein each of the revised relevance scores is a function of at least two of the plurality of initial relevance scores; and ranking the plurality of parameters based on the revised relevance scores.
1. A computer-implemented method for ranking relevance of parameters of a content item, the method comprising: receiving, using at least one processing circuit, a plurality of parameters of a content item and a plurality of corresponding initial relevance scores of the parameters indicating relevance of the parameters to the content item; estimating, using a statistical model, a plurality of revised relevance scores from the initial relevance scores, wherein each of the revised relevance scores is a function of at least two of the plurality of initial relevance scores; and ranking the plurality of parameters based on the revised relevance scores. 2. The method of claim 1 , further comprising: receiving data indicative of actual ranking of parameters of a plurality of content items; and training the statistical model using the data.