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GeoLife: A Collaborative Social Networking Service among User, location and trajectory

Yu Zheng, Xing Xie, and Wei-Ying Ma

Abstract

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 the gap between people and locations. This paper introduces a social networking service, called GeoLife, which aims to understand trajectories, locations and users, and mine the correlation between users and locations in terms of user-generated GPS trajectories. GeoLife offers three key applications scenarios: 1) sharing life experiences based on GPS trajectories; 2) generic travel recommendations, e.g., the top interesting locations, travel sequences among locations and travel experts in a given region; and 3) personalized friend and location recommendation.

Details

Publication typeArticle
Published inIEEE Data(base) Engineering Bulletin
PublisherIEEE
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