document: Summarization of online image collections via implicit feedback The availability of map interfaces and location-aware devices makes a growing amount of unstructured , geo-referenced information available on the Web . In particular , over twelve million geo-referenced photos are now available on Flickr , a popular photo-sharing website . We show a method to analyze the Flickr data and generate aggregate knowledge in the form of `` representative tags '' for arbitrary areas in the world . We display these tags on a map interface in an interactive web application along with images associated with each tag . We then use the implicit feedback of the aggregate user interactions with the tags and images to learn which images best describe the area shown on the map .
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