关键词: 推荐系统, 社会化推荐, 协同过滤, 矩阵分解, 社交媒体

Abstract: Recommender systems can help netizens find target information from?a large number of complex information, and can effectively improve netizens’ information retrieval ability, However, there are problems in data sparsity, cold-start and system performance in recommender systems. In order to solve these problems, some scholars proposed to apply social relations to the recommender systems, this method is an important way to improve the accuracy of recommendation, and has made important progress in many years of scientific research practice. Therefore, this research direction has increasingly become a field of concern for many scholars, and relevant research in this field is becoming more and more active. By sorting out the concept of social recommender systems and comparing with traditional recommender systems, the research status of social recommender systems is reviewed, hoping to find out new rules and seek new breakthroughs from the current research status, the prospects for future development of the social recommender systems are also discussed, in order to be helpful?to the later researchers.

Key words: recommender systems, social recommendation, collaborative filtering, matrix factorization, social media