a framework for using custom knowledge in e-catalog designs

researches prove that effective customer management along with using customer knowledge is one of the topics that can produce competitive advantage in comparison with the other e-commerce topics. mining the customer knowledge with the aim of helping the managers in better ad strategy making will be possible using the systems with ability of extracting the behavioral patterns of customers from different databases. the output of these systems can be applied in ad strategy making for e-catalog designs. in this paper, a new framework based on customer knowledge was proposed for e-catalog designs. in this framework, a new algorithm naming dvlw was used for mining the multi-dimensional sequential patterns. the framework was implemented in a computer peripherals and devices vendor company. the results show that extracted final knowledge by this framework is more comprehensive comparing with the other frameworks.