Parallel free-text search on the connection machine system
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Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Some measures and procedures for evaluation of the user interface in an information retrieval system
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Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Language and representation in information retrieval
Language and representation in information retrieval
Evaluation of an expert system for searching in full text
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval on the connection machine: 1 to 8192 gigabytes
Information Processing and Management: an International Journal - Special issue on parallel processing and information retrieval
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ACM SIGIR Forum
High-quality and high-performance full-text document retrieval: the parallel InfoGuide system
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
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Incremental relevance feedback for information filtering
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The effect of accessing nonmatching documents on relevance feedback
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Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
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Relevance and reinforcement in interactive browsing
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Ranked retrieval with semantic networks and vector spaces
Journal of the American Society for Information Science and Technology
Support vector machines: relevance feedback and information retrieval
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
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IS&N '99 Proceedings of the 6th International Conference on Intelligence and Services in Networks: Paving the Way for an Open Service Market
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Interactive Information Retrieval Using Clustering and Spatial Proximity
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A study of interface support mechanisms for interactive information retrieval
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Query expansion with the minimum user feedback by transductive learning
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Argumentative feedback: a linguistically-motivated term expansion for information retrieval
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
How do users find things with PubMed?: towards automatic utility evaluation with user simulations
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Improving relevance feedback in language modeling with score regularization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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Synchronous Collaborative Information Retrieval: Techniques and Evaluation
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
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Query expansion with the minimum relevance judgments
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
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ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Time-based calibration of effectiveness measures
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Although relevance feedback techniques have been investigated for more than 20 years, hardly any of these techniques has been implemented in a commercial full-text document retrieval system. In addition to pure performance problems, this is due to the fact that the application of relevance feedback techniques increases the complexity of the user interface and thus also the use of a document retrieval system. In this paper we concentrate on a relevance feedback technique that allows easily understandable and manageable user interfaces, and at the same time provides high-quality retrieval results. Moreover, the relevance feedback technique introduced unifies as well as improves other well-known relevance feedback techniques.