Authors : R. Krishnamoorthy and K.R. Suneetha
Abstract: User interest estimation is an imperative part of any personalized information retrieval system whose quality is decided based on the accuracy of user interest description. This study proposes a Behavior Monitoring Measurement System which is an advanced metric model for estimating the degree of user’s interest based on his browsing behaviors and histories. Since, browsing behaviors are the valuable indicators of user’s interest, this metric considers browsing behaviors such as duration of time spent in browsing each page and various other user activities. As the user behavior changes the measurement values would get updated and finally degree of satisfaction would be estimated. The calculation for the degree of the matic interest is based on Clustering Rule Method. The mathematical formulation for calculating the interested degree is also presented in this study. The experimental results confirm that the proposed system reflects user's satisfaction degree accurately and dynamically.
R. Krishnamoorthy and K.R. Suneetha, 2013. User Interest Estimation Using Behavior Monitoring Measure. International Journal of Soft Computing, 8: 381-385.