Optimization of relevance feedback weights
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Combining the evidence of different relevance feedback methods for information retrieval
Information Processing and Management: an International Journal
Term Similarity-Based Query Expansion for Cross-Language Information Retrieval
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
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
Journal of the American Society for Information Science and Technology
Studying Query Expansion Effectiveness
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
On the number of terms used in automatic query expansion
Information Retrieval
Word distribution analysis for relevance ranking and query expansion
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The university of glasgow at CLEF 2004: French monolingual information retrieval with terrier
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Web 2.0 Based Intelligent Software Architecture for Photograph Sharing
International Journal of Intelligent Information Technologies
A possibilistic query translation approach for cross-language information retrieval
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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This paper presents a new possibilistic information retrieval system using semantic query expansion. The work is involved in query expansion strategies based on external linguistic resources. In this case, the authors exploited the French dictionary "Le Grand Robert". First, they model the dictionary as a graph and compute similarities between query terms by exploiting the circuits in the graph. Second, the possibility theory is used by taking advantage of a double relevance measure possibility and necessity between the articles of the dictionary and query terms. Third, these two approaches are combined by using two different aggregation methods. The authors also benefit from an existing approach for reweighting query terms in the possibilistic matching model to improve the expansion process. In order to assess and compare the approaches, the authors performed experiments on the standard 'LeMonde94' test collection.