Collaborative Filtering by Fuzzy Co-clustering of Very Large Data

Abstract

Collaborative filtering in Internet societies is a promising application area of co-clustering. In order to search for the items to be recommended to an active user, co-cluster structures of users and items are considered. With the goal of applying real world applications with very large users, the conventional clustering algorithm suffers from huge computational costs and must be modified for reducing the costs. In this research, the applicability to very large data is studied in conjunction with some sampling approaches.