Collaborative filter recommendation algorithm based on fast community detection
Jiang Sheng-y · Journal of Guangxi University · 2013
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 urgent problem. To solve this problem,a fast community-detection-based collaborative filtering recommendation 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 collaborative filter in both recommendation efficiency and quality.