Restructuring Sparse High Dimensional Data for Effective Retrieval

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

• Type: Conference
• Year: 1998
• Where: NIPS
• Authors: Charles Lee Isbell Jr., Paul A. Viola
• Keywords: Dimensionality Reduction, Document, NIPS 1998, NIPS 2007, Text Retrieval