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Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering
Joint Authors
Xia, Shixiong
Yuan, Guan
Zhang, Yanmei
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yuan, Guan& Xia, Shixiong& Zhang, Yanmei. 2013. Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031837
Modern Language Association (MLA)
Yuan, Guan…[et al.]. Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031837
American Medical Association (AMA)
Yuan, Guan& Xia, Shixiong& Zhang, Yanmei. Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031837
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031837