Ranking structured documents using utility theory in the Bayesian Network Retrieval Model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2857, Issue , 2003, Pages 168-182

  Crestani, Fabio ^a   De Campos, Luis M ^b   Fernández Luna, Juan M ^b   Huete, Juan F ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; INFORMATION RETRIEVAL;

EXPECTED UTILITY; INFORMATION RETRIEVAL MODELS; NEW APPROACHES; POSTERIOR PROBABILITY; RETRIEVAL MODELS; STRUCTURAL UNIT; STRUCTURED DOCUMENT; UTILITY THEORY;

BAYESIAN NETWORKS;

EID: 0142187776     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39984-1_13     Document Type: Article

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