Interactive Web Search by Graphical Query Refinement.
作者： Gen-ichiro Kikui , Junji Tomita
DOI:
关键词: Information retrieval 、 Query optimization 、 Concept search 、 Computer science 、 Web search query 、 Query expansion 、 Query language 、 Web query classification 、 Information needs 、 Graph (abstract data type)
摘要: We propose a new Web search system that helps users clarify their information needs through interaction. The represents the user’s using query graph: set of graph objects. This is presented to user and interactively refined until satisfied with documents retrieved. In this way, can find desired even if his original were unclear. article describes concept outlines system.
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