SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Large-scale information retrieval with latent semantic indexing
Information Sciences: an International Journal
Fuzzy information systems: managing uncertainty in databases and information retrieval systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
A comparison of collocation-based similarity measures in query expansion
Information Processing and Management: an International Journal
Term Weighting in Information Retrieval Using the Term Precision Model
Journal of the ACM (JACM)
Query expansion using heterogeneous thesauri
Information Processing and Management: an International Journal
Latent semantic indexing: a probabilistic analysis
Journal of Computer and System Sciences - Special issue on the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems
A vector space model for automatic indexing
Communications of the ACM
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In this paper, we propose an improved information retrieval model, where the integration of modification-words and head-words is introduced into the representation of user queries and the traditional vector space model. We show how to calculate the weights of combined terms in vectors. We also propose a new strategy to construct the thesaurus in a fuzzy way for query expansion. Through the developed information retrieval system, we can retrieve documents in a relatively narrow search space and meanwhile extend the coverage of the retrieval to the related documents that do not necessarily contain the same terms as the given query. Experiments for testing the retrieval effectiveness have been implemented by using benchmark corpora. Experimental results show that the improved information retrieval system is capable of improving the retrieval performance both in precision and recall rates.