Abstract:
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User-user interaction data is common nowadays, for example, we can observe friendship relations on Facebook or existed links between different websites. So the natural question we can ask is, for a new person, could we make personalized recommendations for possible links based on his/her unique feature? In this project, we build a new framework using Graph Root Distribution trying to answer such questions. We investigate the performance of our method based on several real data sets.
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