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.
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