Web Mining Techniques - A Framework to Enhance Customer Retention

In e-commerce, retaining customers on the web is a difficult task that requires good understanding of customers' behavior to be able predict their needs and interests. Web usage mining (WUM), which application data techniques improve business, helps in web. Therefore, this paper proposes implements framework enhance quality customer recommendations. Providing with what they are looking for increase satisfaction, will lead improved retention company. The proposed was tested evaluated. result testing illustrates recommendations based merged (like clustering, classification, association, sequential discovery) achieve strong accuracy precision value 74%, coverage 100%, an average overall efficiency F-measure 86%. means technique outperformed each attained much higher coverage.