PIC Matrices: A Computationally Tractable Class of Probabilistic Query Operators

摘要

The inference network model of information retrieval allows for a probabilistic interpretation of query operators. In particular, Boolean query operators are conveniently modeled as link matrices of the Bayesian Network. Prior work has shown, however, that these operators do not perform as well as the the pnorm operators used for modeling query operators in the context of the vector space model. This motivates the search for alternative probabilistic formulations for these operators.