Capturing individual profiles is one of the key tasks in behavior computing. Now, web forum has been one of the main platforms to exchange information. In this paper, we focus on get extension profiles for web forum users. Extension profiles are the types and areas of that forum users concern about (“term-profile”) plus a description of user’s collaboration networks (neighborhood-profile). We define and implement the tasks of automatically determining an extension profiles of a forum user from a web forum corpus. We propose the tripartite graph model to effectively capture the user’s profiles. This tripartite graph integrate forum user’s posts and reply networks in web forums. Furthermore, we discuss how to imple-ment an application by following the model. And the efficiency of the application is discussed on the basis of an experimental study using a real data set of online forum.
CITATION STYLE
Zhang, Z., Qian, W., & Zhou, A. (2012). Simultaneously modeling reply networks and contents to generate user’s profiles on web forum. In Behavior Computing: Modeling, Analysis, Mining and Decision (pp. 91–108). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-4471-2969-1_6
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