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
Evaluating interactive information retrieval systems: opportunities and challenges
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
On the role of a user's knowledge gap in an information retrieval process
Proceedings of the 3rd international conference on Knowledge capture
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In the recent past, information retrieval techniques have improved significantly and it is now possible to access massive text corpora using some of the most popular search engine tools like Google, Yahoo, PubMed (popular search engine for medical literature), etc. Considering that such search engine tools are normally trying to retrieve information from massive text corpora, a number of search results they need to display might be in hundreds or even in tens of thousands. Normally it is not possible or practical to browse through a very large collection of search results, and often a typical user needs further assistance in focusing on the search results that might best meet his/her requirements. In this paper we present a new technique that allow a user to interactively express problem (task) specific knowledge (which is otherwise not possible using search engine tools like Google, Yahoo, PubMed, etc) and later use this knowledge to help a user to interactively and quickly focus on search results they might be interested in. The system presented in this paper integrates some of the techniques from the field of Natural Language Processing and Visualisation.