13. The method of claim 9 , wherein training the image classification model comprises adjusting a vector of weights corresponding to image features based on image feature values of classified training images.
9. A computer-implemented method, comprising: obtaining, by a data processing device, initial quality scores for relevant images for a query, the relevant images being images previously selected to be referenced by search results for the query; selecting, by a data processing device, a transformation factor for the query for which the relevant images are identified as relevant, the transformation factor representing a measure of importance of image quality for computing relevance scores of relevant images; computing query specific quality scores for the relevant images based on a function of the transformation factor for the query and the initial quality scores for the images, wherein computing a query specific quality score comprises computing a product of the transformation factor and the initial quality score; and computing adjusted relevance scores for the relevant images based on the query specific quality scores and initial relevance scores for the relevant images.