Paper: User Participation Prediction in Online Forums

ACL ID E12-1037
Title User Participation Prediction in Online Forums
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012

Online community is an important source for latest news and information. Accurate prediction of a user?s interest can help pro- vide better user experience. In this paper, we develop a recommendation system for online forums. There are a lot of differ- ences between online forums and formal me- dia. For example, content generated by users in online forums contains more noise com- pared to formal documents. Content topics in the same forum are more focused than sources like news websites. Some of these differences present challenges to traditional word-based user profiling and recommenda- tion systems, but some also provide oppor- tunities for better recommendation perfor- mance. In our recommendation system, we propose to (a) use latent topics to interpo- late with content-based recommenda...