Lightening the load of document smoothing for better language modeling retrieval

Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn 2006, Issue , 2006, Pages 699-700

  Smucker, Mark D ^a   Allan, James ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

Document smoothing; IDF; Inverse document frequency; Language modeling

Indexed keywords

COMPUTER SIMULATION; FORMAL LANGUAGES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; QUERY LANGUAGES; COMPUTER PROGRAMMING LANGUAGES; MAXIMUM LIKELIHOOD; QUERY PROCESSING;

DOCUMENT SMOOTHING; INVERSE COLLECTION FREQUENCY (ICF); INVERSE DOCUMENT FREQUENCY (IDF); LANGUAGE MODELING RETRIEVAL; LANGUAGE MODELING; MAXIMUM LIKELIHOOD ESTIMATED (MLE);

INFORMATION RETRIEVAL;

EID: 33750293524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148324     Document Type: Conference Paper

References (3)

1. J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In SIGIR, pages 275-281, 1998.
2. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In SIGIR, pages 334-342, 2001.
3. C. Zhai and J. Lafferty. Two-stage language models for information retrieval. In SIGIR, pages 49-56, 2002.