ACM Home Page
Please provide us with feedback. Feedback
Predicting the performance of linearly combined IR systems
Full text PdfPdf (897 KB)
Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Melbourne, Australia
Pages: 190 - 196  
Year of Publication: 1998
ISBN:1-58113-015-5
Authors
Christopher C. Vogt  Computer Science and Engineering 0114, University of California, San Diego
Garrison W. Cottrell  Computer Science and Engineering 0114, University of California, San Diego
Sponsors
University of Melbourne : University of Melbourne
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 36,   Citation Count: 22
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/290941.290991
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
 
3
 
4
Ted Diamond. Information retrieval using dynamic evidence combination. PhD Dissertation Proposal. http://www.nwlink.com/-#tgdiamon, Oct 1996.
 
5
L. Guttman. What is not what in statistics. The Statistician, 26:81-107, 1978.
 
6
D.K. Harman, editor. The Third Text REtrieval Conference (TREC-3), Gaithersberg, MD, 1995. National Institute of Standards and Technology. NIST Special Publication.
 
7
D.K. Harman, editor. The Fifth Tezt REtrieval Conference (TREC-5), Gaithersberg, MD, 1997. National Institute of Standards and Technology. NIST Special Publication.
 
8
Paul B. Kantor. Decision level data fusion for routing of documents in the TREC3 context: A best case analysis of worst case results, in Harman {6}. NIST Special Publication.
 
9
Daniel Knaus, Elke Mittendorf, and Peter Sch#iuble. Improving a basic retrieval method by links and passage level evidence. In Harman {6}. NIST Special Publication.
10
 
11
 
12
T. Saracevic and P. Kantor. A study of information seeking and retrieving iii. Journal of the A meri. can 5ociety for Information Science, 39(3):197-218, 1988.
 
13
Erik Selberg and Oren Etzioni. Multi-service search and comparison using the MetaCr&wler. In Proceedings of the 4th International World Wide Web Conference, 1996.
 
14
J.A. Shaw and E.A. Fox. Combination of multiple searches. In Harman {6}. NIST Special Publication.
 
15
C.C. Vogt, G.W. Cottrell, ILK. Belew, and B.T. Bartell. Using relevance to train a linear mixture of experts. In Harman {7}. NIST Special Publication.

CITED BY  22

Collaborative Colleagues:
Christopher C. Vogt: colleagues
Garrison W. Cottrell: colleagues