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Relating content through web usage
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Conference on Hypertext and Hypermedia archive
Proceedings of the 20th ACM conference on Hypertext and hypermedia table of contents
Torino, Italy
SESSION: Keynote2 table of contents
Pages 3-4  
Year of Publication: 2009
ISBN:978-1-60558-486-7
Author
Ricardo Baeza-Yates  Yahoo! Research, Barcelona, Spain
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

Relating content is important in any document base, for example to automatically create hyperlinks. Classical techniques to relate Web content include text mining and link analysis. However, a more powerful source for semantically connecting two Web pages is user behavior. In this short summary we categorize existing approaches that use what people do in the Web to relate content and we discuss the issues and the research problems associated with this idea.


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.

 
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Ricardo Baeza-Yates. Applications of Web Query Mining. In European Conference on Information Retrieval (ECIR'05), D. Losada, J. Fernandez-Luna (editors), Springer LNCS 3408, Santiago de Compostela, Spain, 7--22, March 2005.
 
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Ricardo Baeza-Yates and Barbara Poblete. A Website Mining Model Centered on User Queries. In Semantics, Web and Mining, M. Ackermann et al. (Eds.): EWMF/KDO 2005, Springer LNAI 4289, 1--17, 2006.
 
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Ricardo Baeza-Yates and Alessandro Tiberi. The Anatomy of a Large Query Graph. Journal of Physics A 41 (22), special issue for STATPHYS23 Satellite Meeting on Complex Networks: from Biology to Information Technology, edited by A. Barrat, S. Boccaletti, G. Caldarelli, A. Chessa, V. Latora and A. Motter, 224002, June 2008.
 
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