This paper examines the background of the recommender systems and the state-of-art technologies in this current research area. We examined the needs for recommendation systems and the enhanced performance by using the additional social network information. We compared different types of social network information and how they are used to improve the recommendation systems with a few examples. We also discussed different evaluation methods that are important to measure the performances of a recommendation system. We concluded that the recommendation system is a very important research area and could be applied in many domains. We summarized different measures towards evaluating a recommendation system especially those incorporating the social network information.
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