社会商务与电子商务（Soical Commerce & E-Commerce） 个性化推荐系统（Personalized Recommender Systems） 协同评价与群体决策（Collaborative Evaluation & Group Decision） ..
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Personalized Recommender Systems emerge under the background of this, which becomes the research focus in the domestic and overseas.
个性化推荐系统在这样的背景下应运而生。
Collaborative filtering is the most widely used and successful technology for personalized recommender systems. However it faces challenges of scalability and recommendation accuracy.
协同过滤是个性化推荐系统中应用最广泛和最成功的推荐技术，但是它也面临着推荐准确度和可扩展性两大挑战。
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