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We review the application of Bayesian belief networks to several information retrieval problems, showing that they provide an effective and flexible framework for modeling distinct sources of evidence in support of a ranking. To illustrate, we explain how Bayesian networks can be used to represent the classic vector space model and demonstrate how this basic representation can be extended to naturally incorporate new evidence from distinct information sources. These models have been showndoi:10.1016/j.ijar.2003.07.006 fatcat:x244rhsi4raopg66vcchjgzrdy