Survey of personalized recommendation based on society networks analysis

As one of the most important methods to solve the problem of information overload in the technology developed society, the personalized recommendation still has some challenges. There are two major problems, one is that there is a gap between the calculated results and the user´s actual interests and is not able to find changes of users´ preferences in time. The other problem is cold start. While social network analysis method that developed rapidly nowadays provides a new thought for the personalized recommendation that is able to analysis the users´ dynamic preferences of structurally. Main methods and technologies of recommendation and personalized recommendation based on social network analysis are summarized in this paper, and conclusion and outlook are given in the end.