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

范嘉仁(Jia-Zen Fan)

指導教授 ： 楊鎮華

國立中央大學/資訊電機學院/資訊工程學系/碩士(2008年)

摘要

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。

關鍵字

大眾分類 ； 部落格 ； 網頁排名

並列摘要

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.

並列關鍵字

Blog ； PageRank ； Folksonomy

參考文獻

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