Abstract-To understand the trend of recommender system researches by examining the examining the published literature, and to provide practitioners and researchers with insight and future direction on recommender systems, we reviewed 164 articels on recommender systems from 31 journals which were published from 2001 to 2009. The literature search on recommender systems was conducted from top 125 journals of the MIS journal rankings. Using our classifation framework, we classify the review literature into eight categories each of recommendation fields and eight categories into data mining techniques. The review and classification framework was independently verified. Findings of this paper indicate that the research field of movie field received most research field. We hope that this paper helps anyone who is interested in recommender systems research to suggest insight for future research. Keywords-Recommender systems; literature review; data mining technique; clasffication