Mendeley
TY  _  JOUR
ID  -  13940904113435525
TI  -  A Mathematical Model for Customer Behavior Prediction Based on Click Stream Analysis
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  sepehri mehdi
AU  -  Mahdavi Pajouh F.
AD  -  
AD  -  دانشگاه ايالتي اوكلاهماي آمريكا 
Y1  -  2009
PY  -  2009
VL  -  4
IS  -  
SP  -  290
EP  -  298
KW  -  Mathematical programming
click stream analysis
prize collecting traveling salesman problem
Markov model
DO  -  
N2  -  Click stream analysis is known as an effective method for customer’s viewing route prediction in a particular web site. Predicting Customer viewing behavior provides considerable advantages in different areas such as e-commerce, e-business and customer relationship management. This paper aims to provide a 0-1 mathematical model based on Markov models for evaluating the most probable viewing route of a customer in a website. This problem can be formulated as an especial case of well-known Prize Collecting Traveling Salesman Problem (PCTSP) which is a NP-hard problem and its sub tour elimination constraints are increased drastically by increasing the model parameters.  Also an effective algorithm is introduced in this paper to solve this NP-hard model. For model validation, the proposed model was implemented by using the log files of a university web site server for 20 different users. Comparison of the results with commonly used Giudici algorithm shows that the proposed model yields better and exacter solutions.
UR  - rimag.ir/en/Article/27960
L1  - rimag.ir/en/Article/Download/27960
ER  -  
