English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109953/140892 (78%)
Visitors : 46226531      Online Users : 489
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/62185


    Title: Mining Useful News Information Based on Reader Feedback for Building News Communities
    Authors: 陳志銘
    Chen, Chih-ming
    Contributors: 圖檔所
    Keywords: News Community;Data Mining;Fuzzy Inference;Users’ Interaction and Feedback;Web 2.0 Technologies
    Date: 2013.06
    Issue Date: 2013-12-06 10:26:52 (UTC+8)
    Abstract: Due to the rapid development of information and communication technologies (ICTs), the Internet has become one of the most important communication media for journalism. Models of reader reception of information have changed with websites providing convenient and interactive user interfaces for communicating information instantly. However, this evolution has generated an unprecedented challenge for traditional communication media such as print newspapers. Online news sites need to create unique content to attract readers, and need to develop engaging community management services with Web 2.0 interactive mechanisms to compete with other websites and retain user attention. This work presents a novel online news platform that facilitates the construction of a University Press reader community. This platform can automatically analyze the reader community dataset of University newspapers, including an opinion deviation indicator, popularity indicator, and topicality indicator for each news story. Based on fuzzy inference, the proposed online news platform can select targeted news stories using these three indicators to identify top news stories that promote debate and interactivity within a reader community and promote communication efficiency and reader engagement. Experimental results reveal that the proposed interactive mechanisms satisfy the needs of most readers and correctly display top news stories that readers find interesting. Additionally, the proposed online news platform can assist journalists in understanding reader needs while promoting online social interaction.
    Relation: Journal of Modern Internet of Things, 2(3), 1-17
    Data Type: article
    Appears in Collections:[圖書資訊與檔案學研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1-17.pdf878KbAdobe PDF21094View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback