Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering. (30th July 2013)

• Record Type: Journal Article
• Authors: Yuan, Guan; Xia, Shixiong; Zhang, Yanmei
• Other Names: Balochian Saeed Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2013(2013)
• Publication Date: 2013-07-30
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2013/380871
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : With the development of location-based service, more and more moving objects can be traced, and a great deal of trajectory data can be collected. Finding and studying the interesting activities of moving objects from these data can help to learn their behavior very well. Therefore, a method of interesting activities discovery based on collaborative filtering is proposed in this paper. First, the interesting degree of the objects' activities is calculated comprehensively. Then, combined with the newly proposed hybrid collaborative filtering, similar objects can be computed and all kinds of interesting activities can be discovered. Finally, potential activities are recommended according to their similar objects. The experimental results show that the method is effective and efficient in finding objects' interesting activities.