使用者瀏覽網頁之滑鼠行為探勘

Mouse Behavior Mining on User Browsing Web Page

鄭元威(Yuan-Wei Chen)

指導教授 ： 劉寶鈞

元智大學/資訊學院/資訊工程學系/碩士(2004年)

摘要

網際網路的日趨普及，使得網路探勘（Web Mining）的研究越來越受重視，其中網站瀏覽行為探勘（Web Usage Mining）更可以探勘出使用者的習慣行為模式。不過目前大多數的收集資料的方式主要以網頁日誌（Web Log）為來源，對於使用者在網頁內容上的瀏覽行為則沒有辦法記錄到。本研究針對這點作網頁內容上的滑鼠操作行為資料收集，並分析研究這些資料與使用者的興趣是否有關聯。我們應用找最長共同子字串演算法（Longest Common Subsequence）與從滑鼠移動速度與方向為考量方式作分析，找出發生特定瀏覽習慣行為時所對應的瀏覽網頁內容，作為使用者感興趣的區域。

關鍵字

網站瀏覽行為探勘 ； 滑鼠行為

並列摘要

By the popular of internet , the research of web mining is getting respected. Web Usage Mining can even mine the usage behavior mode. Most of the data retrieved are usually form Web Log, but these can not record the browsing behavior of the users on web page.This paper focus on mouse browsing behavior on the contents of web page for data retrieving and analyzes the relation between these data and user's interesting. We use two method to find the specific browsing behavior that mapped to the contents of web page. And the specific browsing behavior can take as the area where user is interesting in. One method is the Longest Common Subsequence algorithm, and the other is by mouse moving and direction.

並列關鍵字

Web Usage Mining ； Mouse Behavior

參考文獻

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