A COLLABORATIVE WEB RECOMMENDATION SYSTEM USING HIDDENMARKOV MODEL

World Wide Web has become one of the mostextensive information resources in a recent span of time. It mostly covers all the information needed for any user. But,finding data on a large web site is a not an easy task. The users of the web sites mostly suf er from the problem of finding the required data in time. In fact, locating the required dataset on the web has become one of the dif icult and time consuming tasks today. Massive development of internet in recent years necessitates the improvement of recommender systems that is to be user friendly in web applications.Collaborative filtering (CF) technologies, making prediction of users' preference based on users' previous behaviors, have become one of the most successful techniques to build modern recommender systems. In enhancement a new Fast algorithm for web recommendation system based on Hidden Markov Model is used for filtering out users who submit unfair ratings to an online reputation system