在資訊爆炸的時代,網路每天充斥大量的資訊,使用者如何透過平台或服務篩選有興趣及目前熱門的資訊是重要的議題。本論文設計和實作一個網路資訊訂閱系統,提供一個直覺、彈性且易用的網頁介面,使用者可透過此系統訂閱資訊來源,搜尋、分享、收藏、標籤文章。除此之外,系統會根據使用者行為紀錄、瀏覽器瀏覽紀錄及網頁主內容擷取技術,針對使用者興趣推薦文章。 另外,本論文實作了熱門資訊的統計,透過臉書社群資料的分析,統計在各時期熱門的文章及熱門關鍵字,以視覺化的圖表呈現關鍵字變化的趨勢及各個轉折點可能相關的事件。 透過以上這些資料的統計及分析,更快地篩選使用者有興趣及各時間點熱門的資訊。幫助使用者在大量的資訊中,更有效率地閱讀網際網路龐大的資訊。 中文關鍵字:資訊訂閱, 閱讀器
In the era of information explosion, the internet is full of vast amount of information. It’s an important issue for users to choose what they are interested or hot news. In this thesis we designed and implemented an Internet-Information Subscription System to offer a humanistic and easy to use web interface. Users are able to subscribe news feeds through this system. In addition, the user can search, share, collect, and tag articles that are of interest. The system gets the user’s preference according to the user’s browsing history to recommend interesting articles to the users. Besides, this study has done statistical analysis about hot information through analyzing the data on Facebook, summing up the hot articles and keywords in each period, and presented the trend of variations of keywords and potentially related events at every turning point by visual diagrams. Through these statistics and analyses, this study is expected to help users to sift out desired information efficiently among a world of internet information. keywords:E-News Subscription, Reader