| Summary: | 碩士 === 國立交通大學 === 資訊學院數位圖書資訊學程 === 102 === In the modern digital era, due to the prevalence of smart phones, it has become a habit of most people to read news on their mobile phones. Despite the convenience of reading news on mobile phones, the small display is unable to show the full content of each news article. RSS Reader is a solution that allows people to subscribe and read news on mobile devices in the easiest way.
Most RSS feeds contain the first few lines of each news article. However, when users subscribe to numerous news channels, news of hot topics may easily take up the entire page of their RSS readers. Therefore, how to filter news based on user preference is an important issue.
This study proposed a novel automatic news summarization system for RSS readers. Using the two major Chinese RSS feeds channels in Taiwan as an example, this system retrieved full news articles, processed them using the CKIP Chinese word segmentation technology, and then clustered news based on the topic detection and tracking techniques of MEAD to filter out repetitive news articles. Finally, a multi-document summarization technique was applied to summarize news articles in each topic cluster for optimal viewing on mobile
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Finally, this study introduced a mobile RSS reader application that enables users to have a consistent viewing experience across all kinds of smart phones and Tablet PCs.
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