In consideration of the impact of users interests

trust transfer

time factor

social network on personalized recommendation results in micro-blog contents

a new method is proposed in this paper. The method is based on community discovery

and recommends personalized micro-blog contents for users by improving the user model method

effectively using the social network of micro-blog platform and optimizing the recommended micro-blogs utility function. By comparing with other algorithms on the real micro-blog data

this method has a good effect of recommendation

has a higher accuracy and novelty

and analyzes the influence of the selection of parameters on the recommendation effect.