On mining mobile apps usage behavior for predicting apps usage in smartphones

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2013, Pages 609-618

  Liao, Zhung Xun ^a   Pan, Yi Chin ^b   Peng, Wen Chih ^a   Lei, Po Ruey ^c  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b YAHOO INC   (United States)

^c Chinese Naval Academy Kaohsiung   (Taiwan)

Author keywords

Behavior prediction; Feature extraction; Mobile apps

Indexed keywords

BEHAVIOR PREDICTION; MOBILE APPS; MOST LIKELY; PROBABILITY MODELING; REAL DATA SETS; SELECTION ALGORITHM; TEMPORAL INFORMATION; TRAINING DATA;

ALGORITHMS; ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; ENTROPY; FEATURE EXTRACTION; KNOWLEDGE MANAGEMENT;

FORECASTING;

EID: 84889566905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505529     Document Type: Conference Paper

References (23)

1. G. Amodeo, R. Blanco, and U. Brefeld. Hybrid models for future event prediction. In Proc. of CIKM, pages 1981-1984, 2011.
2. M. Böhmer, B. Hecht, J. Schöning, A. Krüger, and G. Bauer. Falling asleep with angry birds, facebook and kindle: a large scale study on mobile application usage. In Mobile HCI, pages 47-56, 2011.
3. H. Cao, T. Bao, Q. Yang, E. Chen, and J. Tian. An effective approach for mining mobile user habits. In Proc. of CIKM, pages 1677-1680, 2010.
4. P. H. Chia, Y. Yamamoto, and N. Asokan. Is this app safe?: A large scale study on application permissions and risk signals. In Proc. of WWW, pages 311-320, 2012.
5. D.-A. Chiang, Y.-H. Wang, and S.-P. Chen. Analysis on repeat-buying patterns. Knowledge-Based Systems, 23(8):757-768, 2010.
6. D. Choujaa and N. Dulay. Predicting human behavior from selected mobile phone data points. In Proc. of UbiComp, pages 105-108, 2010.
7. P. Cui, F. Wang, S. Liu, M. Ou, S. Yang, and L. Sun. Who should share what?: Item-level social influence prediction for users and posts ranking. In Proc. of SIGIR, pages 185-194, 2011.
8. T. M. T. Do, J. Blom, and D. Gatica-Perez. Smartphone usage in the wild: A large-scale analysis of applications and context. In Proc. of ICMI, pages 353-360, 2011.
9. T. M. T. Do and D. Gatica-Perez. By their apps you shall understand them: Mining large-scale patterns of mobile phone usage. In Proc. of MUM, page 27, 2010.
10. H. Jeung, Q. Liu, H. T. Shen, and X. Zhou. A hybrid prediction model for moving objects. In Proc. of ICDE, pages 70-79, 2008.
11. Z.-X. Liao, P.-R. Lei, T.-J. Shen, S.-C. Li, and W.-C. Peng. Mining temporal profiles of mobile applications for usage prediction. In 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012, pages 890-893, 2012.
12. D. Lymberopoulos, P. Zhao, A. C. König, K. Berberich, and J. Liu. Location-aware click prediction in mobile local search. In Proc. of CIKM, pages 413-422, 2011.
13. H. Ma, H. Cao, Q. Yang, E. Chen, and J. Tian. A habit mining approach for discovering similar mobile users. In Proc. of WWW, pages 231-240, 2012.
14. A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti. Wherenext: A location predictor on trajectory pattern mining. In Proc. of KDD, pages 637-646, 2009.
15. D. R. Radev, H. Qi, H. Wu, and W. Fan. Evaluating web-based question answering systems. In Proc. of LREC, 2002.
16. C. E. Shannon. A mathematical theory of communication. Mobile Computing and Communications Review, 5(1):3-55, 2001.
17. K. Shi and K. Ali. Getjar mobile application recommendations with very sparse datasets. In Proc. of SIGKDD, pages 204-212, 2012.
18. C. Shin, J.-H. Hong, and A. K. Dey. Understanding and prediction of mobile application usage for smart phones. In Proc. of UbiComp, pages 173-182, 2012.
19. M. Vlachos, P. Yu, and V. Castelli. On periodicity detection and structural periodic similarity. In Proc. of SDM, 2005.
20. T. Yan, D. Chu, D. Ganesan, A. Kansal, and J. Liu. Fast app launching for mobile devices using predictive user context. In Proc. of MobiSys, 2012.
21. J. Yi and F. Maghoul. Mobile search pattern evolution: The trend and the impact of voice queries. In Proc. of WWW, pages 165-166, 2011.
22. J. Yi, F. Maghoul, and J. O. Pedersen. Deciphering mobile search patterns: A study of yahoo! mobile search queries. In Proc. of WWW, pages 257-266, 2008.
23. V. W. Zheng, B. Cao, Y. Zheng, X. Xie, and Q. Yang. Collaborative filtering meets mobile recommendation: A user-centered approach. In Proc. of AAAI, 2010.