Incorporating term dependency in the dfr framework

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Volumn , Issue , 2007, Pages 843-844

  Peng, Jie ^a   MacDonald, Craig ^a   He, Ben ^a   Plachouras, Vassilis ^b   Ounis, Iadh ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b YAHOO RESEARCH   (Spain)

Author keywords

DFR; Term dependency

Indexed keywords

MATHEMATICAL MODELS; QUERY LANGUAGES; RANDOM PROCESSES;

DIVERGENCE FROM RANDOMNESS (DFR); TERM DEPENDENCY;

INFORMATION ANALYSIS;

EID: 36448940440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1277741.1277937     Document Type: Conference Paper

References (4)

1. G. Amati. Probability Models for Information Retrieval based on Divergence From Randomness. PhD thesis, University of Glasgow, 2003.
2. C. Lioma, C. Macdonald, V. Plachouras, J. Peng, B. He, and I. Ounis. Experiments in Terabyte and Enterprise tracks with Terrier. In Proceedings of TREC 2006, 2007.
3. D. Metzler and W. B. Croft. A Markov Random Field Model for Term Dependencies. In Proceedings of SIGIR 2005, pages 472-479. 2005.
4. M. Srikanth and R. Srihari. Biterm Language Models for Document Retrieval. In Proceedings of SIGIR 2002, pages 425-426. 2002.