| 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 | en |
| ISSN | 1790-1979 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | GRC |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/17389 ) |
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