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Blog is an important carrier of the current network information, and it has quick update, high quality and personalized characteristic. However, as the number of blogs increase sharply, it becomes more difficult to find high quality and personalized blog. In order to resolve this problem, this paper presents a new blog recommender system based on cloud computing infrastructure. This system adopts the user collaborative filtering recommendation algorithm in blog search, uses Hadoop distributed file system to store mass blog data and implements the distributed processing of blog crawl and index creation stages. The blog recommender engine of the system records user preferences from the blog search results firstly, then finds out user potential preference content by using collaborative filtering algorithm to generate individual and high quality blog recommendation with high reliability and scalability. The experimental results show that the blog recommendation can meet the user's requirements.