A hybrid model for e-customer behavior in internet marketing

Websites having emerged as the first contact point with the customers for many organizations, the study of e-customer’s behavior has become an essential field of research. Online feedback forms can help to get customer preferences. Customer preferences can be analyzed to understand e-customer behavior, but there is no way to ensure that a visitor fills up this form. In this paper our purpose is modeling customer behavior not only using log file, but also using the profile of the e-customer. The result of work lead to more accurate and effective recommendations to the e-customer, this can be done by putting the selected propaganda links to personal e-customer web page. We perform our work based on the OLAM design which performed before, by Irene et al.

Keywords:

Customer behavior , Internet marketing , Customer behavior model , Traversal pattern , Recommendation system