An Innovative Approach to Combine Both Generic Model and Personalized Model in Mobile User Behaviour using Location Based Service.
Abstract
Location-based services and use of mobile phones have enormous growth due to the high range of applications available to the mobile users. Predicting the user behaviour in the mobile environment is a tedious task in data mining. In this research work, an innovative approach is introduced to combine a generic model as well as personalized model to achieve the optimal efficiency. The concept of both data at the same database provides the mobile environment with higher flexibility. This work provides the system to use both generic as well as personal data of the users to predict the future applications. The databases can also be completely utilized as it stores multiple data regarding the behaviour of the user. Experimental results show that the proposed combination of both generic and personalized model method avoids complexity along with providing higher performance than the previous MPSO-RF-OTI2-PMB method with prediction strategy.