Deriving wishlists from blogs show us your blog, and we'll tell you what books to buy

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Deriving wishlists from blogs show us your blog, and we'll tell you what books to buy

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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: 925 - 926

Year of Publication: 2006

ISBN:1-59593-323-9

Authors

Gilad Mishne	ISLA, University of Amsterdam, Amsterdam, The Netherlands
Maarten de Rijke	ISLA, University of Amsterdam, Amsterdam, The Netherlands

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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Downloads (6 Weeks): 11, Downloads (12 Months): 72, Citation Count: 1

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ABSTRACT

We use a combination of text analysis and external knowledge sources to estimate the commercial taste of bloggers from their text; our methods are evaluated using product wishlists found in the blogs. Initial results are promising, showing that valuable insights can be mined from blogs, not just at the aggregate but also at the individual blog level.

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	Daniel Gruhl , R. Guha , Ravi Kumar , Jasmine Novak , Andrew Tomkins, The predictive power of online chatter, Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, August 21-24, 2005, Chicago, Illinois, USA [doi>10.1145/1081870.1081883]
	2	Paul Rayson , Roger Garside, Comparing corpora using frequency profiling, Proceedings of the workshop on Comparing corpora, p.1-6, October 07-07, 2000, Hong Kong [doi>10.3115/1117729.1117730]