政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75228

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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/75228

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题名:	A content fusion system based on user participation degree on microblog
作者:	Kuo, Yau-Hwang 郭耀煌 Lee, K.-R. Fu, M.-H. Liu, W.-C.
贡献者:	資科系
关键词:	Content Fusion;Microblog;Short Text
日期:	2013
上传时间:	2015-05-21 16:16:08 (UTC+8)
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. © 2013 Springer International Publishing Switzerland.
關聯:	Studies in Computational Intelligence, 489, 83-90
数据类型:	article
DOI 連結:	http://dx.doi.org/10.1007/978-3-319-00651-2-12
DOI:	10.1007/978-3-319-00651-2-12
显示于类别:	[資訊科學系] 期刊論文

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