Looking back: On relevance, probabilistic indexing and information retrieval-Reference-Cited by-同舟云学术

Looking back: On relevance, probabilistic indexing and information retrieval

Published:2008-03 Issue:2 Volume:44 Page:963-970
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Thompson Paul

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference51 articles.

1. Bagley, P. (1951). Electronic digital machines for high-speed information searching. M.S. thesis. Cambridge, MA: Massachusetts Institute of Technology.

2. An evaluation of retrieval effectiveness for a full-text document-retrieval system;Blair;Communications of the ACM,1985

3. A re-unification of two competing models for document retrieval;Bodoff;Journal of the American Society for Information Science,1999

4. new unified probabilistic model;Bodoff;Journal of the American Society for Information Science and Technology,2004

5. Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. In Proceedings of the 7th world wide web conference.

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