A content fusion system based on user participation degree on microblog

Wo Chen Liu, Meng Hsuan Fu, Kuan Rong Lee, Yau Hwang Kuo

研究成果: Chapter

摘要

Microblog users generally publish their opinions by using condensed text with some non-textual content. Besides, post responses from participants often include noise such as chaotic messages or unrelated information to the theme. Thus, we propose a Feature-based Filtering Model attempts to filter these noises. Moreover, we propose a method, which select the responses based on user participation degree, Maximum Discussion Group Detection (MDGD), to solve the problem of ignored information by current content fusion approaches. Briefly, the posts with higher user participation degree are selected to extract the short text from original post and its responses. The related content from several microblog platforms is also referred to enrich the fusion results. In the experiments, the test data set is collected from the microblog platforms of Plurk and Facebook. Finally, the Normalized Discounted Cumulative Gain (NDCG) metrics show that our method is capable to provide qualified extraction results.

原文English
主出版物標題Contemporary Challenges and Solutions in Applied Artificial Intelligence
發行者Springer Verlag
頁面83-90
頁數8
ISBN(列印)9783319006505
DOIs
出版狀態Published - 2013 一月 1

出版系列

名字Studies in Computational Intelligence
489
ISSN(列印)1860-949X

    指紋

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

引用此

Liu, W. C., Fu, M. H., Lee, K. R., & Kuo, Y. H. (2013). A content fusion system based on user participation degree on microblog. 於 Contemporary Challenges and Solutions in Applied Artificial Intelligence (頁 83-90). (Studies in Computational Intelligence; 卷 489). Springer Verlag. https://doi.org/10.1007/978-3-319-00651-2_12