Research on Individualized Recommendation Algorithm for Tibetan Micro-blog

Individualized recommendation is one of the hot spots of social media research currently. This paper has proposed a collaborative filtering recommendation algorithm based on community discovery and applies it to Tibetan micro-blog. We should carry out community discovery by using the actual user behavior, find the user group with different preferences in the group, carry out interest differentiation by relying on community discovery and find the content recommendation of corresponding individual based on the community discovery result. It has achieved certain effect in the actual data set.