The vocabulary problem in human-system communication
Communications of the ACM
Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Where should the person stop and the information search interface start?
Information Processing and Management: an International Journal
Cognitive process as a basis for intelligent retrieval systems design
Information Processing and Management: an International Journal
Information retrieval interaction
Information retrieval interaction
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A cognitive view of the situational dynamism of user-centered relevance estimation
Journal of the American Society for Information Science - Special issue: relevance research
Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information foraging in information access environments
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluating user interfaces to information retrieval systems: a case study on user support
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Document representations and clues to document relevance
Journal of the American Society for Information Science
From highly relevant to not relevant: examining different regions of relevance
Information Processing and Management: an International Journal
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Proceedings of the 6th international conference on Intelligent user interfaces
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Strategic help in user interfaces for information retrieval
Journal of the American Society for Information Science and Technology
Machine Learning
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Subject Knowledge, Source of Terms, and Term Selection in Query Expansion: An Analytical Study
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
On the Use of Explanations as Mediating Device for Relevance Feedback
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
The Use of Implicit Evidence for Relevance Feedback in Web Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
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
A task-oriented study on the influencing effects of query-biased summarisation in web searching
Information Processing and Management: an International Journal
An approach for implicitly detecting information needs
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Understanding implicit feedback and document preference: a naturalistic user study
Understanding implicit feedback and document preference: a naturalistic user study
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A study of interface support mechanisms for interactive information retrieval
Journal of the American Society for Information Science and Technology - Research Articles
A relevance feedback mechanism for cluster-based retrieval
Information Processing and Management: an International Journal
Using searcher simulations to redesign a polyrepresentative implicit feedback interface
Information Processing and Management: an International Journal
The polyrepresentation continuum in IR
IIiX Proceedings of the 1st international conference on Information interaction in context
Bayesian adaptive user profiling with explicit & implicit feedback
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A review of text and image retrieval approaches for broadcast news video
Information Retrieval
An evaluation of adaptive filtering in the context of realistic task-based information exploration
Information Processing and Management: an International Journal
Towards open decision support systems based on semantic focused crawling
Expert Systems with Applications: An International Journal
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Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this article, we describe an approach that uses unobtrusive monitoring of interaction to proactively support searchers. The approach chooses terms to better represent information needs by monitoring searcher interaction with different representations of top-ranked documents. Information needs are dynamic and can change as a searcher views information. The approach we propose gathers evidence on potential changes in these needs and uses this evidence to choose new retrieval strategies. We present an evaluation of how well our technique estimates information needs, how well it estimates changes in these needs and the appropriateness of the interface support it offers. The results are presented and the avenues for future research identified.