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11

NIPS
1998

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Restructuring Sparse High Dimensional Data for Effective Retrieval

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Restructuring Sparse High Dimensional Data for Effective Retrieval

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The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, documents and queries are represented as vectors of word counts. In its simplest form, relevance is defined to be the dot product between a document and a query vector

Charles Lee Isbell Jr., Paul A. Viola

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Dimensionality Reduction | Document | NIPS 1998 | NIPS 2007 | Text Retrieval |

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Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	1998
Where	NIPS
Authors	Charles Lee Isbell Jr., Paul A. Viola

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