Simultaneously modeling reply networks and contents to generate user’s profiles on web forum

Zhao Zhang; Weining Qian; Aoying Zhou

doi:10.1007/978-1-4471-2969-1_6

Simultaneously modeling reply networks and contents to generate user’s profiles on web forum

Zhao Zhang^*
, Weining Qian
, Aoying Zhou

^*Corresponding author for this work

School of Data Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Behavior Computing
Subtitle of host publication	Modeling, Analysis, Mining and Decision
Publisher	Springer-Verlag London Ltd
Pages	91-108
Number of pages	18
ISBN (Electronic)	9781447129691
ISBN (Print)	9781447129684
DOIs	https://doi.org/10.1007/978-1-4471-2969-1_6
State	Published - 1 Jan 2012

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10.1007/978-1-4471-2969-1_6

Cite this

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abstract = "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{\textquoteright}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{\textquoteright}s profiles. This tripartite graph integrate forum user{\textquoteright}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.",

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Simultaneously modeling reply networks and contents to generate user’s profiles on web forum

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