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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72068

    Title: 應用大數據分析開發適性化教材推薦系統;Applying Big Data Analytics to Develop an Adaptive Course Material Recommendation System
    Authors: 王傑生;WANG,CHIEH-SHENG
    Contributors: 資訊工程學系
    Keywords: 開放教育資源;推薦系統;協同過濾;Clickstream
    Date: 2016-07-22
    Issue Date: 2016-10-13 14:24:27 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 近年來開放教育資源(Open Educational Resources)的興起,允許使用者開放
    修改及分享OER 教材並提供教師免費或是低成本的教學資源以降低教師提供課
    的時間。;Open Educational Resources has become popular for serval years. It allows user
    to share and revise the open educational resources. By providing no or low cost
    educational resources to institutions and educators brings more opportunity to the
    students to access to education.
    However, with developed for many years the amount of open educational
    resources has become more and more huge, it costs a lot of time for users to find the
    right educational resource and it becomes difficult for users to find the educational
    resources that they really want. This paper find that an open educational resources
    platform has the same problem. Although it already has a content-based
    recommendation system, the lack of user feedbacks leads to it cannot make the
    recommendation result fit to the user requirement.
    In this paper, we collect the click-stream from user as the preference of user. In
    order to deal with vast amount of data, we use Spark to build user cluster model by
    user’s preference. Finally, we combined current user’s preference with user cluster
    model and recommended the adaptive educational resource to current user.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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