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Abstract. The increase of the Internet access and the popularity of mobile devices have influenced the consumption of radio/TV programs on the Web. An alternative for customization programming is the use of recommendation systems to adapt the content transmitted based on the preference of the listeners. The behavior of users accessing content on the Web is highly uncertain and naturally diffuse. In this paper, we propose an approach based on fuzzy set theory to analyze the similarity between users of Web radio programs, capturing similar interests from streaming data available in log files.