Personalized recommendation based on collaborative filtering in social network

The platform and community of social network have become a major trend of people´s work and life, and collaborative filtering is the most popular method currently. This paper analyzed the disadvantages of the traditional collaborative filtering, and proposed an improved algorithm of personalized recommendation based on collaborative filtering in SNS, which increase the efficiency of the recommendation. The experimental results prove the validity and superiority of the proposed model at last.