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Context-orientated news riltering for web 2.0 and beyond
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Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents
Pages: 1001 - 1002  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
David Webster  The University of Hull, United Kingdom
Weihong Huang  Kingston University, United Kingdom
Darren Mundy  The University of Hull, United Kingdom
Paul Warren  The University of Hull, United Kingdom
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

How can we solve the problem of information overload in news syndication? This poster outlines the path from keyword-based body text matching to distance-measurable taxonomic tag matching, on to context scale and practical uses.


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
N. J. Belkin, G. Muresan, and X. M. Zhang. Using user's context for ir personalization. In SIGIR 2004 Information Retrieval in Context, pages 23--25. ACM, 2004.
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M. Canter. Attaching meta-data or not, 2006.
 
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S. Golder and B. A. Huberman. The structure of collaborative tagging systems, 2005.
 
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P. Ingwersen and K. Jarvelin. Information retrieval in contexts. In SIGIR 2004 Information Retrieval in Context, pages 6--9. ACM, 2004.
 
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G. J. F. Jones and P. J. Brown. The role of context in information retrieval. In SIGIR 2004 Information Retrieval in Context, pages 20--22. ACM, 2004.
 
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S. Patwardhan, S. Banerjee, and T. Pedersen. Using measures of semantic relatedness for word sense disambiguation. In Fourth International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-03), 2003.
 
10
I. Ruthven. and this set of words represents the user's context... In SIGIR 2004 Information Retrieval in Context, page 10. ACM, 2004.

Collaborative Colleagues:
David Webster: colleagues
Weihong Huang: colleagues
Darren Mundy: colleagues
Paul Warren: colleagues