Mining mobile application sequential patterns for usage prediction

Eric Hsueh Chan Lu, Yi Wei Lin, Jing Bin Ciou

研究成果: Conference contribution

24 引文 斯高帕斯(Scopus)

摘要

In recent years, researches on smart phone services have received a lot of attention in both of the industry and academia due to a wide range of potential applications. Among them, one of popular topics is the mining and prediction of mobile application usage behaviors. In this paper, we propose a location-based approach to predict the mobile application usage behaviors. In this approach, we first discover the stay locations of the GPS movement data to obtain the mobile application usage database. Then, we consider both of the physical location moving paths and virtual application usage paths of users to mine the Mobile Application Sequential Patterns (MASPs) by the Mobile Application Sequential Pattern Mine (MASP-Mine) algorithm. Furthermore, a prediction strategy is designed to predict the next mobile application usage behaviors based on the MASPs. To our best knowledge, this is the first work on mining and prediction of mobile application usage behaviors with considerations of physical location moving paths and virtual application usage paths simultaneously. Through experimental evaluation under various condition settings by a real mobile application usage data, the proposed approach is shown to deliver excellent performance in terms of precision and recall.

原文English
主出版物標題Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014
編輯Yasuo Kudo, Shusaku Tsumoto
發行者Institute of Electrical and Electronics Engineers Inc.
頁面185-190
頁數6
ISBN(電子)9781479954643
DOIs
出版狀態Published - 2014 12月 11
事件2014 IEEE International Conference on Granular Computing, GrC 2014 - Hokkaido, Japan
持續時間: 2014 10月 222014 10月 24

出版系列

名字Proceedings - 2014 IEEE International Conference on Granular Computing, GrC 2014

Other

Other2014 IEEE International Conference on Granular Computing, GrC 2014
國家/地區Japan
城市Hokkaido
期間14-10-2214-10-24

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 軟體

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