Design and implementation of classification recommended in the user's social network
Yun Wang · Journal of Guizhou Normal University · 2013
There are exist a close relationship of friends among the social network.The current recommended method of social network users is single and lead to customer churn and relationship of friends is not clear.By the calculation of semantic similarity of the labels,analyse the relationship between user and attention degree and have a classification based on interest.According to the classification associated with attention to the user and then recommended.The validity of the classification is verified by experiment,on the other hand enhance the efficiency of recommendation.