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Browsing images based on social and content similarity

We propose an information visualization technique that uses social and content features complementarily and helps users explore a database for images. Items in the database are laid out in a 2D map according to content similarity. The social filter dynamically shows the relationship between items in the map based on social similarity. We demonstrate an example of visualization applied to our Web graphics recommender system.