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Weblogs are one of fundamental components of Web 2.0 and there are a lot of unskilled bloggers and visitors who have difficulties in finding relevant blogs. Recommender systems are a solution to the information overload problems. In this paper a weblog recommender system based on link structure of weblog graph is introduced. Here we treat links between weblogs as some kind of rating, meaning that if there is a hyperlink from weblog A pointing to weblog B then blogger A prefers weblog B. Based on this assumption we have adapted almost all of famous recommendation techniques for Blogsphere. The methods are implemented on a real dataset and experiments show promising results.