A Review on Web Recommendation System

Abstract

In Web world, there is immense of information available on the internet but user is not capable to find relevant information in short period of time. Therefore, a system called recommendation system developed to assist user in their browsing activities. It analyzes users need and provides relevant information in shorter span. In this work, various recommendation systems reviewed to analyze their problems and solutions. In order to improve the recommendation quality, a new web recommendation system is introduced. This system uses knn and genetic algorithm during web usage mining process to analyze static web access log.