Mining user similarity based on location history

The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. The increasing availability of large amounts of spatio-temporal data pertaining to an individual's trajectories has given rise to a variety of geographic information systems, and also brings us opportunities and challenges to automatically discover valuable knowledge from these trajectories. In this paper, we move towards this direction and aim to geographically mine the similarity between users based on their location histories. Such user similarity is significant to individuals, communities and businesses by helping them effectively retrieve the information with high relevance. A framework, referred to as hierarchicalgraph-based similarity measurement (HGSM), is proposed for geographic information systems to consistently model each individual's location history and effectively measure the similarit...

• Type: Conference
• Year: 2008
• Where: GIS
• Authors: Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu Liu, Wei-Ying Ma
• Keywords: Database, GIS 2008, Pearson Similarity Measures, Related Similarity Measures, Such User Similarity