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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65673

    Title: 使用者模型為基礎的概念飄移預測
    Authors: 吳登翔;WU,DENG-SIANG
    Contributors: 資訊管理學系
    Keywords: 概念飄移;遺忘因子;參與中間度分群;主題關係;Concept Drift;Forgetting factor;Betweenness centrality;Topic relationship
    Date: 2014-07-15
    Issue Date: 2014-10-15 17:08:00 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 摘要
    With the amount of data and the speed of data increasing are more quickly than past time for a user nowadays. Therefore considering data stream study becomes a trend of information retrieval. The concept drift means the data categories can change by time or the data filtering mistake when user′s interests changed causing. This study considers users′ exquisite feelings, using the documents users have read belongs to which topics and judge the relevance based on the co-occurrence between two topics. The demand of the system calculating speed we propose NGD similarity tolerance method to decrease the amount of terms to reach the goal of decreasing system executing time. And our study divide users′ interests into four categories and then aim to those categories designing the forgetting factor to keep and filter the data improving the effectiveness decreasing of concept drift. This study predicts the concept drift through the users′ reading behavior to decrease the effect to the system when concept drift happened.
    Appears in Collections:[資訊管理研究所] 博碩士論文

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