Web Page Recommendation System using Biclustering with Greedy Search and Genetic Algorithm

A Recommender system is one of the best web usage mining Application which reduces the difficulties faced by the users to meet their requirements. Web usage mining is the process of obtaining useful knowledge from the server logs. In this work, a new recommendation system is proposed to predict the user’s navigational behaviour. We are using the biclustering approach with greedy search and genetic algorithm to overcome the problems of grouping available in traditional clustering approach. The practical implementation of this algorithm shows the more accurate prediction of user’s intuition on web. The knowledge gained by the analysis is applied to target marketing and in the designing of web