1998
DOI: 10.1145/299917.299920
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“Is this document relevant?…probably”

Abstract: This article surveys probablistic approaches to modeling information retrieval. The basic concepts of probabilistic approaches to information retrieval are outlined and the principles and assumptions upon which the approaches are based are presented. The various models proposed in the development of IR are described, classified, and compared using a common formalism. New approaches that constitute the basis of future research are described.

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Cited by 139 publications
(58 citation statements)
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References 39 publications
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“…S-theories clearly do not try to define, but rather presuppose, the fundamental concept of relevance understood as a relation between some information and an informee. The problem is accurately described in Crestani et al [1998]: "The concept of relevance is arguably the fundamental concept of IR. In the above presented model we purposely avoid giving a formal definition of relevance.…”
Section: Epistemic Vs Causal Relevancementioning
confidence: 99%
“…S-theories clearly do not try to define, but rather presuppose, the fundamental concept of relevance understood as a relation between some information and an informee. The problem is accurately described in Crestani et al [1998]: "The concept of relevance is arguably the fundamental concept of IR. In the above presented model we purposely avoid giving a formal definition of relevance.…”
Section: Epistemic Vs Causal Relevancementioning
confidence: 99%
“…The problem is accurately described in Crestani et al [1998]: "The concept of relevance is arguably the fundamental concept of IR. In the above presented model we purposely avoid giving a formal definition of relevance.…”
Section: Epistemic Vs Causal Relevancementioning
confidence: 99%
“…Q'' as material implication. 4 The conditional probabilities are also commonly used in the probabilistic models (see (Crestani, Lalmas, Rijsbergen, & Campbell, 1998), for an overview). The two aspects can also be found in most probabilistic models, formulated as P ðQjDÞ and P ðDjQÞ.…”
Section: The Probabilistic Approachmentioning
confidence: 99%