Residential College | false |
Status | 已發表Published |
Mining foursquare user check-in habit based on historical check-in records | |
Yan Zhuang; Simon Fong; Meng Yuan | |
2016-08-30 | |
Conference Name | 11th International Scientific Conference on Future Information Technology (FutureTech) / 10th International Conference on Multimedia and Ubiquitous Engineering (MUE) |
Source Publication | Advanced Multimedia and Ubiquitous Engineering |
Volume | 393 |
Pages | 747-759 |
Conference Date | APR 20-22, 2016 |
Conference Place | Beijing, PEOPLES R CHINA |
Publisher | SPRINGER, 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES |
Abstract | Location prediction is the latest development direction in these year. This paper proposes a new method which does not need each individual history path and ID to match his/her history path with prediction path database to predict the user’s next location. In this experiment, we used two pair of coordinates to give a prediction. It’s based on the foursquare dataset. And through changing the factors that affect the location prediction, like length and time, in the general experiment, the accuracy of the prediction will be enhanced. |
Keyword | Data Mining Next Location Prediction Foursqure |
DOI | 10.1007/978-981-10-1536-6_97 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Mathematics ; Science & Technology - Other Topics ; Physics |
WOS Subject | Mathematics ; Multidisciplinary Sciences ; Physics, Mathematical |
WOS ID | WOS:000399933600097 |
Scopus ID | 2-s2.0-84987947933 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Simon Fong |
Affiliation | Department of Computer and Information Science, University of Macau, Taipa, Macau SAR |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yan Zhuang,Simon Fong,Meng Yuan. Mining foursquare user check-in habit based on historical check-in records[C]:SPRINGER, 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES, 2016, 747-759. |
APA | Yan Zhuang., Simon Fong., & Meng Yuan (2016). Mining foursquare user check-in habit based on historical check-in records. Advanced Multimedia and Ubiquitous Engineering, 393, 747-759. |
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