COMPARATIVE ANALYSIS ASSOCIATION RULE BASED COLLABORATIVE FILTERING

The World Wide Web have brought us an overabundant knowledge in varied fields and as a result of the data or information overloading, it is very arduous to find out related data. So, Recommendation System comes into existence. The main goal of this system is to recommend the best suitable items to the user or customer. The suggestions pertinent to decision making processes, like what things to obtain, which new music to listen to, which on-line latest news to search, or which image is best one from all. The advantages of recommendation system depend on efficiency of the system. The efficiency can be measured in terms of reliability, accuracy, flexibility. The main aim of the proposed system is to generate the rules based on the association mining and try to improve the accuracy of the system