Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Using a belief revision operator for document ranking in extended Boolean models
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Document filtering method using non-relevant information profile
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Rating the Impact of Logical Representations on Retrieval Performance
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
Propositional logic representations for documents and queries: a large-scale evaluation
ECIR'03 Proceedings of the 25th European conference on IR research
Hi-index | 0.00 |
Relevance feedback is an appreciated process to produce increasingly better retrieval. Usually, positive feedback plays a fundamental role in the feedback process whereas the role of negative feedback is limited. We think that negative feedback is a promising precision oriented mechanism and we propose a logical framework in which positive and negative feedback are homogeneously modeled. Evaluation results against small test collections are provided.