2017-03-13
Modeling characteristics of location from user photos
Publication
Publication
In the past decade, location-based services have grown through geo-tagging and place-tagging. Proliferation of GPS-enabled mobile devices further enabled exponential growth in geotagged user content. On the other hand, location-based applications harness the abundance of geo-tagged content to further improve user experience and more relevant localized content. We show in this paper that geo-tagged content can vary significantly based on whether they are captured by a local versus a tourist to the location. Using photos shared by online users, we also show how we can learn unique characteristics about a given location. We finally discuss an effective metric to rank the most representative photos for a given location by combining visual contents and their social engagement potential. Copyright is held by the owner/author(s).
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| Facebook Inc., San Francisco, CA, USA, Futurewei Technologies, Inc., San Francisco, CA, USA | |
| doi.org/10.1145/3039677.3039683 | |
| ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces | |
| Organisation | Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands |
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Kumar, V., Bakhshi, S., Kennedy, L., & Shamma, A. (2017). Modeling characteristics of location from user photos. In HUMANIZE 2017 - Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, co-located with IUI 2017 (pp. 1–6). doi:10.1145/3039677.3039683 |
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