Abstract
Collaborative filtering system (CFS) is the process of filtering information or patterns using techniques involving collaboration among multiple agents, viewpoints, data sources, etc. Applications of collaborative filtering (CF) typically involve very large datasets. The CF methods have been applied to many different kinds of data including sensing and monitoring data, such as in mineral exploration and knowledge management. In this paper, an attempt has been made to briefly explain the meaning and types of collaborative system and its advantages and disadvantages. This paper also highlights new developments and innovations in CFS till date. The authors have also assessed about how CFS can help to manage knowledge at individual, group and at organisational levels.
Published Version
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