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» Mining user similarity based on location history
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DEBU
2010
265views more  DEBU 2010»
13 years 4 months ago
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory
People travel in the real world and leave their location history in a form of trajectories. These trajectories do not only connect locations in the physical world but also bridge ...
Yu Zheng, Xing Xie, Wei-Ying Ma
WWW
2009
ACM
14 years 5 months ago
Mining interesting locations and travel sequences from GPS trajectories
The increasing availability of GPS-enabled devices is changing the way people interact with the Web, and brings us a large amount of GPS trajectories representing people's lo...
Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
WWW
2010
ACM
13 years 11 months ago
Equip tourists with knowledge mined from travelogues
With the prosperity of tourism and Web 2.0 technologies, more and more people have willingness to share their travel experiences on the Web (e.g., weblogs, forums, or Web 2.0 comm...
Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang...
SIGMOD
2008
ACM
210views Database» more  SIGMOD 2008»
14 years 5 months ago
Private queries in location based services: anonymizers are not necessary
Mobile devices equipped with positioning capabilities (e.g., GPS) can ask location-dependent queries to Location Based Services (LBS). To protect privacy, the user location must n...
Gabriel Ghinita, Panos Kalnis, Ali Khoshgozaran, C...
SEDE
2007
13 years 6 months ago
Self-organizing map based web pages clustering using web logs
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper...
Dehu Qi, Chung-Chih Li