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Home > Archive>Volume 20, Issue 9, 2009 >2397-2406
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Model for Internet News Force Evaluation Based on Information Retrieval Technologies
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    Abstract:

    Evaluating the force of Internet news is an important aspect in the social security field. This paper establishes a quantitative analysis model for calculating the Internet news force with information retrieval methods based on the correlative information got through information retrieval technologies. This method can help people understand how great the news affects the social security. A lot of experiments, lead to a conclusion: this method can rank a stream of news effectively, and also can find most important news items from a number of news which belong to different types; its result is very close to people’s judgment.

    Reference
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    [4] Radev DR, Blair-Goldensohn S, Zhang Zh, Raghavan RS. Newsinessence: A system for domain-independent, real-time news clustering and multi-document summarization. In: Marcus M, ed. Proc. of the HLT 2001. Morristown: Association for Computational Linguistics, 2001. 1-4.
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    [7] Yao JY, Wang J, Li ZW, Li MJ, Ma WY. Ranking Web news via homepage visual layout and cross-site voting. In: Lalmas M, ed. Proc. of the ECIR 2006. Heidelberg: Springer-Verlag, 2006. 131-142.
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    [9] Wang JY, Xie ZM, Lei M, Li XM. Research and evaluation of near-replicas of Web pages detection algorithms. Acta Electronica Sinica, 2000,28(11A):130-132 (in Chinese with English abstract).
    [10] 2007. http://top.chinalabs.com/ 附中文参考文献: [1] 黄鹂.论网络媒体传播功能的特点.华中理工大学学报(社会科学版),2000,14(2):115-117.
    [9] 王建勇,谢正茂,雷鸣,李晓明.近似镜像网页检测算法的研究与评价.电子学报,2000,28(11A):130-132.
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杨伟杰,戴汝为,崔霞.一种基于信息检索技术的网络新闻影响力分析方法.软件学报,2009,20(9):2397-2406

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  • Revised:August 07,2008
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