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    LBSN 2011 - 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN) 2011

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    Website acmgis2011.cs.umn.edu/ | Want to Edit it Edit Freely

    Category LBSN 2011

    Deadline: July 22, 2011 | Date: November 01, 2011-November 04, 2011

    Venue/Country: Chicago, U.S.A

    Updated: 2011-04-18 21:07:51 (GMT+9)

    Call For Papers - CFP

    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.

    Topics of Interest

    Topics of interest include, but not limited to, the following aspects :

    Spatial and spatio-temporal data mining in user-centric scenarios

    Moving object tracking, indexing and retrieval for social applications

    Trajectory compressing and simplification

    Trajectory mining, pattern recognition, and knowledge discovery

    Location privacy and security

    Uncertainty of location and trajectory in modeling, inference, and querying

    Activity recognition and sensing for social applications

    Location identification from sensor data for social applications

    User behavior modeling using physical sensor data

    Semantic meaning and knowledge discovery from location-related data

    User similarity computing based on location-related information

    Social structure detection from location-related data

    Location and friend recommendations

    Hot spots, significant places, and interesting locations detection

    Location-tagged media sharing and mining

    Human-computer interaction in location-based social networks

    Mobile and ubiquitous computing for location-based social networks

    Information retrieval in location-based social networks

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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