A Hybrid Approach to Improving Scalability in Collaborative Filtering

The process of filtering information or patterns using techniques involving collaboration among multiple agents or data sources is known as collaborative filtering [14]. Applications of collaborative filtering typically involve very large data sets. Techniques of Collaborative filtering have been applied to many different fields such as sensing and monitoring data in mineral exploration, environmental sensing over large areas, financial data, such as financial service institutions or in web applications where the focus is on user information. It is based on the concept that everything is related to everything else [9]. One such popular field of development of collaborative filtering is Recommendation Systems. Recommendation systems were