Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Re-examining the potential effectiveness of interactive query expansion
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Collecting paraphrase corpora from volunteer contributors
Proceedings of the 3rd international conference on Knowledge capture
Ajax in Action
Eliciting better information need descriptions from users of information search systems
Information Processing and Management: an International Journal
A knowledge-based search engine powered by wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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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.