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propose relevant recommendations to like-minded customers upon items or products that may be of i... more propose relevant recommendations to like-minded customers upon items or products that may be of interest for them. Several approaches have been proposed in the last few years, yet the interest in this area has not dwindled, as it has great potential for practical applications, especially in providing personalized recommendation amidst the information overload. Initially, collaborative filtering was suggested as a framework for filtering information depending on preferences upon a group of users, since then it has gone through a series of refinement. The past decade has seen a plethora of studies on recommender systems, yet studies on social networking based recommender systems are sparse. This paper reviews the collaborative recommendation system with a special focus on (1) how the recommender system can take advantage of social network information, (2) the challenges faced by the collaborative system, and (3) different approaches that targets the improvement of the recommender system.

propose relevant recommendations to like-minded customers upon items or products that may be of i... more propose relevant recommendations to like-minded customers upon items or products that may be of interest for them. Several approaches have been proposed in the last few years, yet the interest in this area has not dwindled, as it has great potential for practical applications, especially in providing personalized recommendation amidst the information overload. Initially, collaborative filtering was suggested as a framework for filtering information depending on preferences upon a group of users, since then it has gone through a series of refinement. The past decade has seen a plethora of studies on recommender systems, yet studies on social networking based recommender systems are sparse. This paper reviews the collaborative recommendation system with a special focus on (1) how the recommender system can take advantage of social network information, (2) the challenges faced by the collaborative system, and (3) different approaches that targets the improvement of the recommender system.

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