Analyses of Collaborative Filtering Using Item Clustering and Hybrid Clustering (original) (raw)

Personalized recommendation systems are producing recommendation and widely used in today's world. Collaborative filtering technique is most successful technique for recommendation.. Collaborative filtering is a method of making prediction about interest of user by collecting preferences from many users. The growth of users and products are increase very quickly and its challenge for nearest-neighbor filtering algorithm. Many algorithms proposed so far, where the principal concern is collaborative filtering challenges. This paper analyses the collaborative filtering challenges using clustering technology. This approach can be implemented based on user clustering, item clustering and another method is hybrid method which use user and item clustering.