On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
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Journal of the ACM (JACM)
Operations Research Applied to Document Indexing and Retrieval Decisions
Journal of the ACM (JACM)
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Communications of the ACM
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ACM SIGIR Forum
Information retrieval using a singular value decomposition model of latent semantic structure
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
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SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
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SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Vector space model of information retrieval: a reevaluation
SIGIR '84 Proceedings of the 7th annual international ACM SIGIR conference on Research and development in information retrieval
Recent advances in HNC's context vector information retrieval technology
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
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WEIRD is an automatic document retrieval system designed and implemented at Syracuse University, which attempts to advance the art of computerized retrieval from word-matching to judging conceptual similarity. WEIRD uses a vector space model to represent the relations among terms and documents. Items in the space are located according to their "meaning", which is their proximity to all other items in the data base as measured by co-occurrence frequencies. This is done without manipulating large matrices. The dimensions of the space are not used to define relations; items are defined solely by their position relative to the other items. Retrieval is determined by Euclidean distance from the plotted query. In the first section of the paper the basic characteristics of WEIRD are described. Second, the results of a preliminary evaluation are reported. Alternatives for further development of WEIRD are then considered.