A topic-Based measure of resource description quality for distributed information retrieval

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

Volumn 5478 LNCS, Issue , 2009, Pages 509-520

  Baillie, Mark ^a   Carman, Mark J ^b   Crestani, Fabio ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b UNIVERSITY OF LUGANO   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS AND EVALUATION; COARSE GRAINS; DISTRIBUTED INFORMATION RETRIEVAL; LATENT DIRICHLET ALLOCATION; RELATIVE ENTROPY; RELEVANT DOCUMENTS; REPRESENTATIVE SAMPLE; RESOURCE DESCRIPTION; RESOURCE SELECTION; RESOURCE SELECTION ALGORITHMS; SAMPLE QUALITY; SAMPLING ALGORITHM; SMALL SAMPLES; TEXT COLLECTION; TOPIC MODEL;

APPROXIMATION THEORY; INFORMATION RETRIEVAL;

INFORMATION SERVICES;

EID: 67650696136     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00958-7_45     Document Type: Conference Paper

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