中文摘要：

随着社交网络服务的快速发展，推荐服务亦以各种形式融入到社交网络服务之中。由于社交网络服务数据量大，如何快速高效地处理数据成为迫在眉睫的问题。基于这一研究背景，提出一种能够快速得到较好推荐结果的基于快速社区检测的协同过滤推荐算法。实验结果表明，与传统的协同过滤推荐算法相比，提出的算法可以得到更好的推荐结果和更少的时间开销。

英文摘要：

With the rapid development of social network services, recommending service has also been integrated into the social network services in various forms. However, as the social network services tend to contain larger data, how to process data quickly and efficiently has become an ur- gent problem. To solve this problem, a fast community-detection-based collaborative filtering recom- mendation algorithm, which can achieve better recommended results quickly, is presented in this paper. Experimental results show that this algorithm can improve performance of the traditional col- laborative filter in both recommendation efficiency and quality.