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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/35211
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/35211


    Title: 全球資訊網中使用者網頁-動作路徑的資料挖掘
    Authors: 林青峰
    Lin , Qing-Fung
    Contributors: 楊亨利
    Yang , Herng-Li
    林青峰
    Lin , Qing-Fung
    Keywords: 全球資訊網
    網站使用挖掘
    資料挖掘
    使用者行為
    網頁路徑
    動作路徑
    World-Wide-Web
    Web-Useage Mining
    Data-Mining
    User Behavior
    Page Path
    Action Path
    Date: 2003
    Issue Date: 2009-09-18 14:27:26 (UTC+8)
    Abstract:   客戶在從事消費時,往往會有許多不一樣的行為產生。對組織而言,研究客戶的消費行為能夠協助組織更了解客戶的資訊,進而支援其經營活動。以往與客戶行為相關的資料挖掘研究,較著重於客戶的消費資料。而對於客戶在商店中做了那些動作,及其動作會導致發生的事件並沒有較全盤及深入的討論。對實體業者而言,要實際的去記錄使用者在商店內的行為,是不太可行的;但相對的說,隨著網際網路與資料收集技術的發展,網站經營者應用log留存技術,將比傳統業者更容易且完整的收集到消費者行為記錄。本研究試圖在全球資訊網的環境中建立一個能夠同時分析使用者的瀏覽網頁路徑及其動作過程的演算法;並且配合該演算法建置一個雛形系統,以驗証其效能,最後並評估其日後實務操作的可行性。
    Different kind of customer purchases with different behavior. Studying the customer’s purchase behavior can help organizations understand their client intentions to support their business activities. In the past, customer behavior data mining emphasized on their purchase items, i.e., what they buy. There was few studies discussing what path they took and what actions they made in an e-store. It is impossible for a physical store to record its customers’ all actions and passing paths. However, a website store can easily collect such data in an Internet log. This study proposes a data mining algorithm that can analyze both customers’ browsing pages and their actions path. The algorithm’s efficiency and feasibility were examined in our prototype. This study may contribute to help the website mangers to restructure their website layouts or advertisement position to catch the customer’s eyes.
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    Description: 碩士
    國立政治大學
    資訊管理研究所
    91356030
    92
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0091356030
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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