Modeling semantics and structure of discussion threads

The abundant knowledge in web communities has motivated the research interests in discussion threads. The dynamic nature of discussion threads poses interesting and challenging problems for computer scientists. Although techniques such as semantic models or structural models have been shown to be useful in a number of areas, they are inefficient in understanding discussion threads due to the temporal dependence among posts in a discussion thread. Such dependence causes that semantics and structure coupled with each other in discussion threads. In this paper, we propose a sparse coding-based model named SMSS to Simultaneously Model Semantic and Structure of discussion threads. Categories and Subject Descriptors I.5.1 [Pattern Recognition]: Models - Statistical General Terms Algorithms, Experimentation Keywords Threaded discussion, sparse coding, reply reconstruction

• Type: Conference
• Year: 2009
• Where: WWW
• Authors: Chen Lin, Jiang-Ming Yang, Rui Cai, Xin-Jing Wang, Wei Wang 0009, Lei Zhang
• Keywords: Discussion Threads, Internet Technology, Keywords Threaded Discussion, Model Named Smss, WWW 2009