教師資料查詢 | 類別: 期刊論文 | 教師: 林丕靜 NANCY PEI-CHING LIN (瀏覽個人網頁)

標題:A Trend-based Prediction System for Web User Behavior
學年96
學期1
出版(發表)日期2008/01/01
作品名稱A Trend-based Prediction System for Web User Behavior
作品名稱(其他語言)
著者Jan, Nien-yi; Lin, Shun-chieh; Lin, Nancy P.; Chang, Chung-I
單位淡江大學資訊工程學系;軍訓室
出版者Athens: World Scientific and Engineering Academy and Society
著錄名稱、卷期、頁數WSEAS Transactions on Advances in Engineering Education 5(1), pp.52-59
摘要Since web applications make great progress, the latency of Internet owing to the network bandwidth becomes an urge problem in the cyber world. It is very important to deliberate on how to construct a prediction model to predict web users traveling path for adapting the website structure and improving the website performance. A trend based prediction model without extra information is proposed in this paper to generate prediction models with a sequence of pages for a proxy server prefetcting the suitable pages. The trend similarity is the core of our proposed model which considers not only the page similarity but also position similarity. Two measures include page correctness rate and order correctness rate are proposed to evaluate accuracy of our prediction system.
關鍵字Trend similarity;Prediction system;Web mining;User behavior;Sequence mining
語言英文
ISSN1790-1979
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別希臘
公開徵稿
出版型式紙本
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