The variety of engaging interactions among users in social medial distinguishes it from traditionalWeb media. Such a fea- ture should be utilized while attempting to provide intelligent services to social me- dia participants. In this article, we present a framework to recommend relevant infor- mation in Internet forums and blogs using user comments, one of the most represen- tative of user behaviors in online discus- sion. When incorporating user comments, we consider structural, semantic, and au- thority information carried by them. One of the most important observation from this work is that semantic contents of user comments can play a fairly different role in a different form of social media. When designing a recommendation system for this purpose, such a difference must be considered with caution.
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