Paper: Recommendation in Internet Forums and Blogs

ACL ID P10-1027
Title Recommendation in Internet Forums and Blogs
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

The variety of engaging interactions among users in social medial distinguishes it from traditional Web 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 considere...