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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/8822


    Title: 探討影響讀者推薦系統滿意度之因素: 以建立圖書館讀者社群為例;Investigating the factors influencing the satisfaction of reader recommendation system: An example of building reader’s communities of practice in libraries
    Authors: 陳佳玲;Chia-ling Chen
    Contributors: 資訊工程學系碩士在職專班
    Keywords: 借閱記錄;推薦系統;Library 2.0;知識分享;資訊系統;information system;loan record;recommendation system;Library 2.0;knowledge sharing
    Date: 2009-07-06
    Issue Date: 2009-09-22 11:35:24 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 由於Web 2.0的興起,締造出Library 2.0圖書館服務的風潮,因此圖書館的服務已不應只是僅僅提供圖書借閱的服務而已,更重要的是,如何為這群借閱者形成讀者社群,並進一步的透過此社群進行知識的分享,有基於此,本研究透過讀者在圖書館的借閱記錄中去探勘出相同領域的讀者,並推薦給讀者去形成讀者社群,因此本研究的目的在探討讀者在使用讀者推薦系統服務後對此系統的整體滿意程度是否為正向影響,其研究變項分為五個部份,分別為知識分享態度、系統品質、資訊品質、服務品質以及推薦系統滿意度。本研究的實驗對象為某大學願意提供及公開個人借閱記錄並參與實驗的教職員及學生。 A trend of Library 2.0 service was created because of the thriving of Web 2.0. Therefore, library service should not be limited to lending service only; more importantly, it should help readers to form reader communities and further conduct knowledge sharing through the communities. Based on this theory, this study investigated readers of the same fields by examining their circulation records. The results will be recommended to the readers for creating reader communities.The purpose of this study is to examine whether readers’ overall satisfaction towards this recommendation service is positive after using it. Its research variables were divided into five parts; that is, knowledge sharing attitude, system quality, information quality, service quality and satisfaction survey for evaluating the recommendation system. The participants in this study are the school faculty and students from a domestic university; they are willing to provide and make their personal circulation records public. The data and their personal circulation records in the Library system were officially granted by the university with permission.
    Appears in Collections:[Executive Master of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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