Abstract
We introduce a new information retrieval model, the generalized vector space model (GVSM). In the GVSM, Boolean-like queries can be transformed into vectors spanned by the atoms of the free Boolean algebra generated by the index terms. Documents can, therefore, be ranked with respect to a query as in the conventional vector space model. Most significantly, the GVSM provides a unified view of the Boolean retrieval and vector-processing systems.
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