Ranking and Optimizing of Location Based Services by User’s Behavioral Patterns Using Data Mining Techniques
DOI:
https://doi.org/10.51983/ajes-2014.3.2.1923Keywords:
Behavioral profiling, location-based services, mobile, normality mining, privacyAbstract
The utilization of the mobile technology devices is growing more and more, and the world is shrinking into a mobile. Recent advances in mobile technologies have meant that the technical capability to record and transmit location data for processing is appearing in off-the-shelf handsets. This opens possibilities to get the profile of the people based on the places they visit, people they associate with, or other aspects of their complex routines determined through persistent tracking using GPS enabled mobile phones. There must be recording of the users behaviors about the location information and stored it into the database. The services can be provided to offer customized information based on the results of such behavioral profiling could become commonplace. The GPS locations of the people have been mined to reveal places of interest and to create simple profiles. The information drawn from the profiling activity ranges from intuitive through special cases to insightful. User can send their desired query to find out the particular shop or object in real-time. This provides an efficient response to the user regarding their query, and it distinguishes which place is famous for which thing based on the previous queries from several users.
References
L. Caronia and A. H. Caron, "Constructing a specific culture: Young people’s use of the mobile phone as a social performance," Convergence, Int. J. Res. New Media Technol., vol. 10, no. 2, pp. 50-61, 2004.
J. García-Montes, D. Caballero-Muñoz, and M. Perez- Alvarez, "Changes in the self-resulting from the use of mobile phones," Media, Cult. Soc., vol. 1, no. 1, pp. 67–82, 2006.
S. Mann, "Wearable computing: A first step towards personal imaging," IEEE Comput., vol. 30, no. 2, pp. 25–32, Feb. 1997.
N. Streitz and P. Nixon, "The disappearing computer," Commun. ACM, vol. 48, no. 3, pp. 33–35, 2005.
S. Figge, "Situation-dependent services—A challenge for mobile network operators," J. Bus. Res., vol. 57, no. 12, pp. 1416–1422, 2004.
M. Parameswaran and A. B. Whinston, "Research issues in social computing," J. Assoc. Inf. Syst., vol. 8, pp. 336–350, 2007.
L. A. Kurgan and P. Musilek, "A survey of knowledge discovery and data mining process models," Knowl. Eng. Rev., vol. 21, pp. 1–24, 2006.
G. Mort and J. Drennan, "Mobile digital technology: Emerging issues for marketing," J. Database Mark., vol. 10, no. 1, pp. 9–23, 2002.
S.-H. Liao and C.-H. Wen, "Mining demand chain knowledge for new product development and marketing," IEEE Trans. Syst., Man, Cybern., Part C, vol. 39, no. 2, pp. 223–232, Mar. 2009.
D. Cuff, M. Hansen, and J. Kang, "Urban sensing: Out of the woods," Commun. ACM, vol. 51, pp. 24–33, 2008.
N. Eagle, "Behavioral inference across cultures: Using telephones as a cultural lens," IEEE Intell. Syst., vol. 23, no. 4, pp. 62–64, Jul./Aug. 2008.
G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions," IEEE Trans. Knowl. Data Eng., vol. 17, no. 6, pp. 734–749, Jun. 2005.
N. Poolsappasit and I. Ray, "Towards achieving personalized privacy for location-based services," Trans. Data Privacy, vol. 2, no. 1, pp. 77–99, 2009.
L. Perusco and K. Michael, "Humancentric applications of precise location-based services," in Proc. IEEE Conf. EBus. Eng., IEEE Comput. Soc., Beijing, 2005, pp. 409–418.
J. Shawe-Taylor, T. De Bie, and N. Cristianini, "Data mining, data fusion, and information management," Proc. Inst. Elect. Eng. Intell. Transp. Syst., vol. 153, no. 3, pp. 221–232, Sep. 2006.
N. Eagle and A. Pentland, "Social serendipity: Mobilizing social software," IEEE Pervasive Comput., vol. 4, no. 2, pp. 28–34, Jan.–Mar. 2005.
M. Raento, A. Oulasvirta, and N. Eagle, "Smartphones: An emerging tool for social scientists," Sociol. Methods Res., vol. 37, no. 3, pp. 426–454, 2009.
K. Michael, A. McNamee, M. Michael, and H. Tootell, "Location-based intelligence modeling behavior in humans using GPS," in Proc. Int. Symp. Technol. Soc., New York, 2006, pp. 8–11.
S. Greaves and C. De Gruyter, "Profiling driving behaviour using passive global positioning system (GPS) technology," presented at the Inst. Transp. Engineers Int. Conf., Melbourne, Australia, 2002.
N. Eagle and A. Pentland, "Social serendipity: Mobilizing social software," IEEE Pervasive Comput. (Special issue: the smart phone), vol. 4, no. 2, pp. 28–34, Jan.–Mar. 2005.
J. Himberg, K. Korpiaho, H. Mannila, K. J. Tikanma, and H. Toivonen, "Time series segmentation for context recognition in mobile devices," in Proc. IEEE Int. Conf. Data Mining (ICDM), San Jose, pp. 203–210, 2001.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 The Research Publication
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
