期刊論文閱讀順序建議系統之設計與實作

Abstract

隨著 Web 2.0 的普及，社會性書籤服務（Social Bookmarking Service） 的應用進入了學術研究領域，在本篇論文中我們試著從閱讀的角度來開發 期刊論文閱讀順序建議系統，藉由收集 CiteULike 的書籤資料做為分析論 文閱讀順序的依據。使用者可將要分析的期刊清單上傳至本研究所設計的 閱讀順序建議系統，系統即可抓取 CiteULike 的書籤資料產生期刊收錄統 計結果，並且可以針對使用者感興趣的論文進行閱讀順序建議，提供使用 者閱讀論文的參考。

With the popularity of Web 2.0, the applications of social bookmarking service are entering the academic. In this paper, we try to develop a journal paper reading order recommendation system from users’ reading perspective. We collect and analyze the bookmarks data of CiteULike articles to analysis paper reading order. Users can upload a list of journal papers to be analyzed to the reading order recommendation system which designed by this study. The system can retrieve the bookmarks data from CiteULike and generate statistical result of these journal papers. In addition, system can recommend reading order of these papers that users interested in, thereby giving users suggestions on reading these papers.