Optimized Collaborative Approach for Client Structured Web Customer Segmentation Using Machine Learning Techniques

Abstract

The process of customer segmentation generally focuses on the customer domain rather than the customer segmentation claimant domain which actually represent the top down design of a business model. If the target or goal is known for the customer segmentation then the design and implementation process adopt the essential components for achieving the goal in an optimized way. Based on requirements the customer segmentation process concentrates on selecting the appropriate data, approaches, methodologies, and tools with prompt measures so as to avoid unnecessary data handling process which produces efficient results.  The existing customer segmentation methods are single approach oriented without any proper implementation of data metrics and current trends of machine learning tools.  This research article proposes a corporate to customer oriented approach for the implementation of client structured web customer segmentation with the optimized collaborative process based on their requirements for customer segmentation. In near future this research article incorporates the automation based customer segmentation in web information system.