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To choose restaurants and coffee shops, people are increasingly relying onsocial-networking sites. In a popular site such as Foursquare or Yelp, a placecomes with descriptions and reviews, and with profile pictures of people whofrequent them. Descriptions and reviews have been widely explored in theresearch area of data mining. By contrast, profile pictures have receivedlittle attention. Previous work showed that people are able to partly guess aplace's ambiance, clientele, and activities not only by observing the placeitself but also by observing the profile pictures of its visitors. Here wefurther that work by determining which visual cues people may have relied uponto make their guesses; showing that a state-of-the-art algorithm could makepredictions more accurately than humans at times; and demonstrating that thevisual cues people relied upon partly differ from those of the algorithm.

Like Partying? Your Face Says It All. Predicting the Ambiance of Places with Profile Pictures