ACM Home Page
Please provide us with feedback. Feedback
Theme-based retrieval of Web news (poster session)
Full text PdfPdf (453 KB)
Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Athens, Greece
Pages: 354 - 356  
Year of Publication: 2000
ISBN:1-58113-226-3
Authors
Nuno Maria  DI/FCUL, Faculdade de Ciências, Universidade de Lisboa, Carnpo Grande, Lisboa, Portugal
Mário J. Silva  DI/FCUL, Faculdade de Ciências, Universidade de Lisboa, Carnpo Grande, Lisboa, Portugal
Sponsors
Athens U of Econ & Business : Athens University of Economics and Business
Greek Com Soc : Greek Computer Society
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 29,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/345508.345648
What is a DOI?

ABSTRACT

We present our framework for classification of Web news, based on support vector machines, and some of the initial measurements of its accuracy.


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
Bowman, C., Danzig, P,, Hardy, D., Manber, U. and Schwartz, M.. The Harvest Information Discovery and Access System. In Proceedings of the Second International WWW Conference. pp.763-771, 1994.
 
3
 
4
5
 
6

Collaborative Colleagues:
Nuno Maria: colleagues
Mário J. Silva: colleagues

Peer to Peer - Readers of this Article have also read: