A competitive environment for exploratory query expansion
Author(s) -
David Milne,
David M. Nichols,
Ian H. Witten
Publication year - 2008
Publication title -
research commons (university of waikato)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1378889.1378922
Subject(s) - computer science , query expansion , query language , set (abstract data type) , web search query , query optimization , web query classification , sargable , information retrieval , workstation , search engine , information seeking , code (set theory) , world wide web , programming language , operating system
Most information workers query digital libraries many times a day. Yet people have little opportunity to hone their skills in a controlled environment, or compare their performance with others in an objective way. Conversely, although search engine logs record how users evolve queries, they lack crucial information about the user's intent. This paper describes an environment for exploratory query expansion that pits users against each other and lets them compete, and practice, in their own time and on their own workstation. The system captures query evolution behavior on predetermined information-seeking tasks. It is publicly available, and the code is open source so that others can set up their own competitive environments
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