Improved latent concept expansion using Hierarchical Markov random fields

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 249-258

  Lang, Hao ^a   Metzler, Donald ^b   Wang, Bin ^a   Li, Jin Tao ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Markov random fields; Query expansion; Term dependence

Indexed keywords

DATA SETS; DOCUMENT STRUCTURE; EXPERIMENTAL EVALUATION; HIERARCHICAL STRUCTURES; INDEPENDENCE ASSUMPTION; LANGUAGE MODEL; MARKOV RANDOM FIELDS; QUERY EXPANSION; QUERY EXPANSION TECHNIQUES; QUERY TERMS; RETRIEVAL EFFECTIVENESS; TERM DEPENDENCE; TERM DEPENDENCY; TEXTUAL REPRESENTATION; UNIFIED FRAMEWORK;

COMPUTATIONAL LINGUISTICS; KNOWLEDGE MANAGEMENT;

EXPANSION;

EID: 78651305182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871473     Document Type: Conference Paper

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