Peer reviewedERIC Number: EJ676553
Record Type: Journal
Publication Date: 2003
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-3318-3324
EISSN: N/A
Relevance Data for Language Models Using Maximum Likelihood.
Bodoff, David; Wu, Bin; Wong, K. Y. Michael
Journal of the American Society for Information Science and Technology, v54 n11 p1050-61 Sep 2003
Presents a preliminary empirical test of a maximum likelihood approach to using relevance data for training information retrieval parameters. Discusses similarities to language models; the unification of document-oriented and query-oriented views; tests on data sets; algorithms and scalability; and the effectiveness of maximum likelihood estimators (MLE) for optimizing document or query representation. (Author/LRW)
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Maximum Likelihood Statistics, Models, Relevance (Information Retrieval)
Available electronically: http://www3.interscience.wiley.com/cgi-bin/jissue/104551672/.
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
