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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/9693

    Title: 利用大眾分類法改善部落格排名效能;Using Folksonomy to Improve the Performance of Blog Ranking
    Authors: 范嘉仁;Jia-Zen Fan
    Contributors: 資訊工程研究所
    Keywords: 大眾分類;部落格;網頁排名;Blog;PageRank;Folksonomy
    Date: 2008-07-09
    Issue Date: 2009-09-22 11:53:44 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 使用PageRank作為排序網路搜尋結果已被採信為一種可靠的方法,然而,其結果並不是讓人那麼滿意。許多研究發現部落格文章之間的相互連結之少,使得PageRank無法將新奇又相關性高但較少被連結的部落格文章推薦給搜尋者。再者,PageRank缺乏主題性的探索,這使得排名結果雖然有利於最有價值的部落格文章,但不一定利於最相關主題的部落格文章。 本篇文章嘗試就這些缺點提出更好的排序方法。更進一步,我們比較現有的主題性網頁排名方法和大眾分類法(Folksonomy)做為主題分類的依據時的可靠程度,我們發現Folksonomy的結果較能符合搜尋者的期待。這篇論文將描述這個發現。 Using PageRank to ranking search results on the web has been adopted as a reliable method; however, the results are not so satisfying. Many researches found that there are too few interlinks between blogposts that PageRank will be unable to recommended novel and high-related blogposts weak-connected to the users. Moreover, PageRank is lack of Topic discovery, which makes the rank advantages the valuable blogposts but does nothing to the relative blogposts. We attempted to present a better ranking method on solving these problem. Moreover, we tried to compare the degree of reliably between the latest topic-discovery page ranking method and Folksonomy as they are both used to generate the common topic relation. This paper will describe this discovery.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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