1. A method comprising: obtaining a trained image relevance model that generates relevance measures of images to a query; and re-training the image relevance model, the re-training comprising: generating an aggregation of near duplicate images among a set of training images; associating image selection data of the aggregated near duplicate images with the aggregation of the near duplicate images, the image selection data corresponding to user interactions with the near duplicate images when the near duplicate images were presented as search results; and generating a re-trained image relevance model based on content feature values of each image in the aggregation of near duplicate images and the image selection data associated with the aggregation of near duplicate images.