A Modified Friend Recommending Algorithm Based on Sina Microblogging
Hong Ding · 2013
There are some deficiencies in the current Sina microblogging friend recommending mechanism.By studying the influence of microblogging community structure and authority users on the friend recommendation,this paper proposed a modified friend recommending algorithm based on Sina Microblogging.In the same microblogging community,conducting friend recommendation by searching the authority should be combined with interest similarity and trust degree between users.In the friend recommending process,the algorithm calculated the interest similarity between users twice and introduces user trust degree propagation model.The results of selecting target users in real microblogging community to carry on the experiments show that the authority users play an important role in friend recommendation and can improve the effect of friend recommendation.At the same time,the results of contrasting the Sina microblogging friend recommending list and the proposed algorithm friend recommending list show that the proposed algorithm has a better recommending effection.