A Literature Review of Data Mining Techniques Used in Collaborative Filtering Recommender Systems

Abstract

As a result of the ever-increasing number of available items in e-services, users are often overwhelmed. Therefore, it is essential to develop and apply algorithms to address the challenge of selection overload. Collaborative Filtering (CF) systems have been developed to help users to find what they might be interested in among a range of available selections. Moreover, CF systems have been widely discussed as an efficient approach to cope with the selection overload issue. This paper presents a literature review of the common CF techniques and data mining techniques used for CF.