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Cites:

Information Journal Paper

Title

A MATHEMATICAL MODEL FOR CUSTOMER BEHAVIOR PREDICTION BASED ON CLICK STREAM ANALYSIS

Pages

  290-298

Abstract

 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.

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    APA: Copy

    SEPEHRI, MOHAMMAD MAHDI, & MAHDAVI PAZHOUH, F.. (2010). A MATHEMATICAL MODEL FOR CUSTOMER BEHAVIOR PREDICTION BASED ON CLICK STREAM ANALYSIS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 7(4), 290-298. SID. https://sid.ir/paper/53708/en

    Vancouver: Copy

    SEPEHRI MOHAMMAD MAHDI, MAHDAVI PAZHOUH F.. A MATHEMATICAL MODEL FOR CUSTOMER BEHAVIOR PREDICTION BASED ON CLICK STREAM ANALYSIS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2010;7(4):290-298. Available from: https://sid.ir/paper/53708/en

    IEEE: Copy

    MOHAMMAD MAHDI SEPEHRI, and F. MAHDAVI PAZHOUH, “A MATHEMATICAL MODEL FOR CUSTOMER BEHAVIOR PREDICTION BASED ON CLICK STREAM ANALYSIS,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 7, no. 4, pp. 290–298, 2010, [Online]. Available: https://sid.ir/paper/53708/en

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