Research on Personalized Recommendation System Based on Web Mining

More and more E-commerce websites provide the products with different price which made it hard for consumers to find the products and services they wanted. In order to overcome the information overload, personalized recommendation systems were proposed to suggest products and to provide consumers with information to help them decide which products to purchase. Personalized recommendation systems can enhance E-Commerce sales by converting browsers into buyers, increasing cross-sell and building loyalty to prevent customers losing. In this paper the definition of web mining is analyzed, two key personalized recommendation technologies are introduced, a framework of personalized recommendation system based on web mining has been established. In the last part of the paper the author researches on an example system: Amazon.com.