Prediction of favourite photos using social, visual, and textual signals

This paper focuses on the prediction of users' favourite photos in Flickr. We propose a multi-modal, machine learned approach that combines social, visual and textual signals into a single prediction system. Although each individual user has different motivations for calling a photo a favourite, we show that the textual, visual, and social modalities effectively capture the needs of most active Flickr users.