Y. KANE-ESRIG, L. STREETER, S. T. DUMAIS, W. KEESE, AND G. CASELLA, The relevance density method for multi-topic queries in information retrieval, in Proceedings of the 23rd Symposium on the Interface, E. Keramidas, ed., 1991, pp. 407-- 410. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Computational Methods for Intelligent Information Access - Berry, Dumais, al. (1995) (13 citations) Self-citation (Dumais) (Correct)
....reduced dimension space adds another dimension of flexibility to the LSI retrieval model. Queries can be either terms (as in most information retrieval applications) documents or combinations of the two (as in relevance feedback) Queries can even be represented as multiple points of interest [18]. Similarly, the objects returned to the user are typically documents, but there is no reason that similar terms could not be returned. Returning nearby terms is useful for some applications like online thesauri (that are automatically constructed by LSI) or for suggesting index terms for ....
Y. KANE-ESRIG, L. STREETER, S. T. DUMAIS, W. KEESE, AND G. CASELLA, The relevance density method for multi-topic queries in information retrieval, in Proceedings of the 23rd Symposium on the Interface, E. Keramidas, ed., 1991, pp. 407-- 410.
Using Linear Algebra for Intelligent Information Retrieval - Berry, Dumais, O'Brien (1995) (183 citations) Self-citation (Dumais) (Correct)
....reduced dimension space adds another dimension of flexibility to the LSI retrieval model. Queries can be either terms (as in most information retrieval applications) documents or combinations of the two (as in relevance feedback) Queries can even be represented as multiple points of interest [17]. Similarly, the objects returned to the user are typically documents, but there is no reason that similar terms could not be returned. Returning nearby terms is useful for some applications like online thesauri (that are automatically constructed by LSI) or for suggesting index terms for ....
Y. Kane-Esrig, L. Streeter, S. T. Dumais, W. Keese, and G. Casella, The relevance density method for multi-topic queries in information retrieval, in Proceedings of the 23rd Symposium on the Interface, E. Keramidas, ed., 1991, pp. 407--410.
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