English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109951/140887 (78%)
Visitors : 46272681      Online Users : 1300
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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/57613


    Title: Intelligent Location-based Mobile News Service System with Automatic News Summarization
    Authors: Chen, Chih-Ming
    陳志銘
    Contributors: 政大圖檔所
    Keywords: News summarization;Information retrieval;Mobile device;Location-awareness service;Fuzzy synthetic evaluation
    Date: 2010-09
    Issue Date: 2013-04-02 11:55:46 (UTC+8)
    Abstract: The accelerated rapid development of wireless network and mobile computing technologies has increased the convenience of mobile information services for obtaining useful information in our daily lives. The technology has thus become an essential research issue. In particular, location-based services (LBSs) on mobile devices can convey location related information to individual users, thus helping users to obtain helpful and adaptive information. Accordingly, this study presents an intelligent location-based service system to provide local news with summaries to personal handheld PDA (Personal Digital Assistant) device based on the user’s location. First, this study proposes a novel multi-document news summarization scheme based on fuzzy synthetic evaluation. This scheme identifies a key paragraph in a news story as a summary based on three evaluation scores, in order to dispatch news information to mobile devices with small screens. Furthermore, to sense a user’s location precisely, the study also develops a practicable location-awareness scheme based on GPS (Global Positioning System) signals to identify the position of a user in the Taiwan area. Finally, an intelligent location-based mobile news service system with automatic news summarization for location-based news services was implemented by combining the proposed multi-document news summarization and user location schemes. The proportion of satisfactory news summaries is up to 86%, and the accuracy of the user location-awareness scheme is up to 90%, according to experimental results in multi-document summarization and user location identification. These experimental results show that the proposed system can be successfully applied in realworld applications for personalized location-based news services.
    Relation: Expert Systems with Applications, 37(9), 6651-6662
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1109/ESIAT.2009.485
    http://dx.doi.org/10.1016/j.eswa.2010.03.055
    DOI: 10.1109/ESIAT.2009.485
    10.1016/j.eswa.2010.03.055
    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
    5.pdf906KbAdobe PDF21487View/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