Design of a browsing interface for information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Demonstration of hierarchical document clustering of digital library retrieval results
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Advances in Informational Retrieval: Recent Research from the Center for Intelligent Information Retrieval
Bursty and Hierarchical Structure in Streams
Data Mining and Knowledge Discovery
Using temporal profiles of queries for precision prediction
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Reusing annotation labor for concept selection
Proceedings of the ACM International Conference on Image and Video Retrieval
Optimal distance bounds for fast search on compressed time-series query logs
ACM Transactions on the Web (TWEB)
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Ranking categories for web search
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Progress in information retrieval
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Modeling geographic, temporal, and proximity contexts for improving geotemporal search
Journal of the American Society for Information Science and Technology
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The following paper proposes a new kind of relevance feedback. It shows how so-called query profiles can be employed for disambiguation and clarification. Query profiles provide useful summarized previews on the retrieved answers to a given query. They outline ambiguity in the query and when combined with appropriate means of interactivity allow the user to easily adapt the final ranking. Statistical analysis of the profiles even enables the retrieval system to automatically suggest search restrictions or preferences. The paper shows a preliminary experimental study of the proposed feedback methods within the setting of TREC's interactive HARD track.