Proceedings:
Proceedings of the International AAAI Conference on Web and Social Media, 9
Volume
Issue:
Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media
Track:
Full Papers
Downloads:
Abstract:
To choose restaurants and coffee shops, people are increasingly relying on social-networking sites. In a popular site such as Foursquare or Yelp, a place comes with descriptions and reviews, and with profile pictures of people who frequent them. Descriptions and reviews have been widely explored in the research area of data mining. By contrast, profile pictures have received little attention. Previous work showed that people are able to partly guess a place's ambiance, clientele, and activities not only by observing the place itself but also by observing the profile pictures of its visitors. Here we further that work by determining which visual cues people may have relied upon to make their guesses; showing that a state-of-the-art algorithm could make predictions more accurately than humans at times; and demonstrating that the visual cues people relied upon partly differ from those of the algorithm.
DOI:
10.1609/icwsm.v9i1.14617
ICWSM
Vol. 9 No. 1 (2015): Ninth International AAAI Conference on Web and Social Media