博碩士論文 955202093 完整後設資料紀錄

DC 欄位	值	語言
DC.contributor	資訊工程學系	zh_TW
DC.creator	范嘉仁	zh_TW
DC.creator	Jia-Zen Fan	en_US
dc.date.accessioned	2008-7-14T07:39:07Z
dc.date.available	2008-7-14T07:39:07Z
dc.date.issued	2008
dc.identifier.uri	http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=955202093
dc.contributor.department	資訊工程學系	zh_TW
DC.description	國立中央大學	zh_TW
DC.description	National Central University	en_US
dc.description.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。	zh_TW
dc.description.abstract	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.	en_US
DC.subject	大眾分類	zh_TW
DC.subject	部落格	zh_TW
DC.subject	網頁排名	zh_TW
DC.subject	Blog	en_US
DC.subject	PageRank	en_US
DC.subject	Folksonomy	en_US
DC.title	利用大眾分類法改善部落格排名效能	zh_TW
dc.language.iso	zh-TW	zh-TW
DC.title	Using Folksonomy to Improve the Performance of Blog Ranking	en_US
DC.type	博碩士論文	zh_TW
DC.type	thesis	en_US
DC.publisher	National Central University	en_US