WEB BASED PRODUCT E-COMMERCE RECOMMENDER SYSTEM USING A KNOWLEDGE CASE BASED ALGORITHM

Abstract

Understanding customer needs is crucial to gaining and retaining customers in a web store, on online e-commerce applications. In order to ensure a versatile system for e-commerce, the pattern generated by customers when they click icons to select some particular products on an e-commerce website, based on their choice, ought to be studied, recorded and built-up into a database. Data mining techniques can then be applied in mining and analyzing information for this database in order to help wholesaler and retailers, improve sales, marketing strategies and product advertisement. In this paper, a conceptualized a framework for determining customers’ product choice and factors involved in choosing online commodities is proposed. The system is tailored for phone products.