TY  - JOUR
T1  - User Interest Estimation Using Behavior Monitoring Measure
AU - Suneetha, K.R. AU - Krishnamoorthy, R. 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 6
SP  - 381
EP  - 385
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.381.385
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.381.385
KW  - Personalized Information Retrieval System
KW  -behavior monitoring measure
KW  -clustering rule
KW  -degree
KW  -metric
AB  - 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.
ER  -