Improving Short-query Web Search Based on User Goal Identification

• Main Authors: Scott Yu, 游士誼
• Other Authors: Wen-Hsiang Lu
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/04284098993630507473

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 94 === As the Internet grows quickly, users can easily get rich information from the World Wide Web. Search engines use keywords in users’ queries to match the pages they collected. Then these engines sort related URLs and list search results by their ranking method to let user click them. However, a great deal of search results provided by search engines would add users’ load of reading information. This paper uses search results and the pair of verb and noun occurring in search results to identify user goals. We propose a probabilistic model of user goal identification in order to automatically find the needs behind users (user goals), and then re-rank the search results based on user goal identification.