Adaptive Referencability Estimation for Healthcare Web Pages

• Main Authors: Chian-Wei Li, 李芊葳
• Other Authors: Rey-Long Liu
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/43296988608926046542

碩士 === 慈濟大學 === 醫學資訊研究所 === 96 === The Internet has been an important healthcare information source for general users and healthcare professionals. In the healthcare domain, information referencability is particularly essential, which considers integrity, readability, language, and domains. In the thesis, we propose a technique MyRR to intelligently re-rank healthcare web pages by their referencability, which is adaptively estimated based on a set of web pages that deserves reference by individual users. Users may thus focus more on the healthcare information that fits their referencability definitions. Experimental results on a real-world environment show that MyRR may successfully rank information by referencability, without conducting a time-consuming crawl on the entire WWW. With the online support provided by MyRR, users may easily identify high-referencability healthcare information from the results returned by search engines.