From Experience to Expertise: Digesting Cumulative Information for Informational Web Search

• Main Authors: Yue-CenLiu, 柳岳岑
• Other Authors: Wei-Guang Teng
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/18679493298275667682

碩士 === 國立成功大學 === 工程科學系碩博士班 === 98 === It is common that users collect desired information by search engines. When an informational web search is performed, users want to understand and learn the particular knowledge. It is difficult to reach the search requirement if the knowledge is unfamiliar to the user or the informational task is complicated. Some efforts are required to browse and to understand the web pages contained in the corresponding search result. In such an informational web search, it is noted that information cues are cumulated as the user reads more and more web pages to approach the search target. For example, the term “cloud computing” can be gradually understood after the user obtains some information of relevant topics, e.g., distributed computing, Google App Engine, Amazon EC2. In this work, an indicator, i.e., immediacy of interest, is proposed to evaluate the possible user interest toward a web page contained in the search result. Moreover, to address the relevance among search sessions, the topic map is also utilized in our proposed scheme. Empirical studies show that tasks of informational web search can be completed efficiently and effectively with our approach.