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Content Provider | ACM Digital Library |
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Editor | Jensen, Christian S. Zheng, Yu Lee, Wang-Chien Mokbel, Mohamed F. |
Copyright Year | 2011 |
Abstract | Social networks have been prevalent on the Internet and become a hot research topic attracting many professionals from a variety of fields. By adding a location dimension, we can bring online social networks back to the physical world and share our real-life experiences in the virtual world conveniently. In location Based Social Networks (LBSN), people cannot only track and share location-related information with each other via either mobile devices or desktop computers, but also leverage collaborative social knowledge learned from user-generated and location-related contents. As location is one of the most important properties in people's everyday lives, LBSN will bridge the gap between online societies and the physical world and enable a lot of novel applications changing the way we live, such as travel planning, location/friend recommendations, community discovery, human mobility modeling and user activity analysis. The technology derived from LBSN, e.g., location trajectory mining and retrieval, can also be applied to a multitude of other research areas including biology, sociology, geography, and climatology, etc. The objective of this workshop is to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art of LBSN development and applications, present their ideas and contributions, and set future directions in emerging innovative research for location based social networks. |
Related Links | http://lbsn2011.cs.umn.edu/index.html |
ISBN | 9781450310338 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2011-11-01 |
Access Restriction | Subscribed |
Content Type | Text |
Resource Type | Conference Proceedings |
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