The vector space model for scoring

In Section 6.2 (page ) we developed the notion of a *document vector* that captures the relative importance of the terms in a document. The representation of a set of documents as vectors in a common vector space is known as the *vector space model* and is fundamental to a host of information retrieval operations ranging from scoring documents on a query, document classification and document clustering. We first develop the basic ideas underlying vector space scoring; a pivotal step in this development is the view (Section 6.3.2 ) of queries as vectors in the same vector space as the document collection.

© 2008 Cambridge University Press

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2009-04-07