Statistical profiles of highly-rated web sites

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Statistical profiles of highly-rated web sites

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Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves table of contents

Minneapolis, Minnesota, USA

SESSION: Web Site Analysis table of contents

Pages: 367 - 374

Year of Publication: 2002

ISBN:1-58113-453-3

Authors

Melody Y. Ivory	UC Berkeley, Berkeley, CA
Marti A. Hearst	UC Berkeley, Berkeley, CA

Sponsor

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 20, Downloads (12 Months): 171, Citation Count: 10

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abstract references cited by index terms collaborative colleagues

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ABSTRACT

We are creating an interactive tool to help non-professional web site builders create high quality designs. We have previously reported that quantitative measures of web page structure can predict whether a site will be highly or poorly rated by experts, with accuracies ranging from 67--80%. In this paper we extend that work in several ways. First, we compute a much larger set of measures (157 versus 11), over a much larger collection of pages (5300 vs. 1900), achieving much higher overall accuracy (94% on average) when contrasting good, average, and poor pages. Second, we introduce new classes of measures that can make assessments at the site level and according to page type (home page, content page, etc.). Finally, we create statistical profiles of good sites, and apply them to an existing design, showing how that design can be changed to better match high-quality designs

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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CITED BY 10

	Aline Chevalier , Melody Y. Ivory, Web site designs: influences of designer's expertise and design constraints, International Journal of Human-Computer Studies, v.58 n.1, p.57-87, January 2003
	Melody Y. Ivory , Marti A. Hearst, Improving Web Site Design, IEEE Internet Computing, v.6 n.2, p.56-63, March 2002
	Ben Shneiderman, Designing for fun: how can we design user interfaces to be more fun?, interactions, v.11 n.5, September + October 2004
	Weiyin Hong , James Y. L. Thong , Kar Yan Tam, Designing product listing pages on e-commerce websites: an examination of presentation mode and information format, International Journal of Human-Computer Studies, v.61 n.4, p.481-503, October 2004
	Melody Y. Ivory , Rodrick Megraw, Evolution of web site design patterns, ACM Transactions on Information Systems (TOIS), v.23 n.4, p.463-497, October 2005
	Thomas Mandl, Implementation and evaluation of a quality-based search engine, Proceedings of the seventeenth conference on Hypertext and hypermedia, August 22-25, 2006, Odense, Denmark
	Matthew Richardson , Amit Prakash , Eric Brill, Beyond PageRank: machine learning for static ranking, Proceedings of the 15th international conference on World Wide Web, May 23-26, 2006, Edinburgh, Scotland
	Chris Stary , Peter Eberle, Building up usability-engineering capability by improving access to automated usability evaluation, Interacting with Computers, v.20 n.2, p.199-211, March, 2008
	Ranjitha Kumar , Juho Kim , Scott R. Klemmer, Automatic retargeting of web page content, Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
	Georg Buscher , Edward Cutrell , Meredith Ringel Morris, What do you see when you're surfing?: using eye tracking to predict salient regions of web pages, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA