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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

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75228

Title:	A content fusion system based on user participation degree on microblog
Authors:	Kuo, Yau-Hwang 郭耀煌 Lee, K.-R. Fu, M.-H. Liu, W.-C.
Contributors:	資科系
Keywords:	Content Fusion;Microblog;Short Text
Date:	2013
Issue Date:	2015-05-21 16:16:08 (UTC+8)
Abstract:	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.
Relation:	Studies in Computational Intelligence, 489, 83-90
Data Type:	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
Appears in Collections:	[資訊科學系] 期刊論文

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