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Visual snippets: summarizing web pages for search and revisitation

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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents

Boston, MA, USA

SESSION: Web searching and browsing table of contents

Pages 2023-2032

Year of Publication: 2009

ISBN:978-1-60558-246-7

Authors

Jaime Teevan	Microsoft Corporation, Redmond, WA, USA
Edward Cutrell	Microsoft Corporation, Redmond, WA, USA
Danyel Fisher	Microsoft Corporation, Redmond, WA, USA
Steven M. Drucker	Microsoft Corporation, Redmond, WA, USA
Gonzalo Ramos	Microsoft Corporation, Redmond, WA, USA
Paul André	University of Southampton, Southampton, United Kingdom
Chang Hu	University of Mayland, College Park, MD, USA

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 47, Downloads (12 Months): 254, Citation Count: 1

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ABSTRACT

People regularly interact with different representations of Web pages. A person looking for new information may initially find a Web page represented as a short snippet rendered by a search engine. When he wants to return to the same page the next day, the page may instead be represented by a link in his browser history. Previous research has explored how to best represent Web pages in support of specific task types, but, as we find in this paper, consistency in representation across tasks is also important. We explore how different representations are used in a variety of contexts and present a compact representation that supports both the identification of new, relevant Web pages and the re-finding of previously viewed pages.

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	Eytan Adar , Jaime Teevan , Susan T. Dumais, Large scale analysis of web revisitation patterns, Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, April 05-10, 2008, Florence, Italy [doi>10.1145/1357054.1357241]
	2	Patrick Baudisch , Bongshin Lee , Libby Hanna, Fishnet, a fisheye web browser with search term popouts: a comparative evaluation with overview and linear view, Proceedings of the working conference on Advanced visual interfaces, May 25-28, 2004, Gallipoli, Italy [doi>10.1145/989863.989883]
	3	Better Search Firefox Extension. From https://addons.mozilla.org/en-US/firefox/addon/211
	4	Bruce, H., Jones, W. and Dumais, S. (2004). Keeping and re-finding information on the Web: What do people do and what do they need? In Proceedings of ASIST '04.
	5	What do web users do? An empirical analysis of web use, International Journal of Human-Computer Studies, v.54 n.6, p.903-922, June 2001 [doi>10.1006/ijhc.2001.0459]
	6	Cockburn, A. and Greenberg, S. (2000). Issues of page representation and organisation in Web browser-revisitation tools. Australian Journal of Information Systems, 7(2):120--127.
	7	Herder, E. (2005). Characterizations of user Web revisit behavior. In Proceedings of Workshop on Adaptivity and User Modeling in Interactive Systems.
	8	Ron R. Hightower , Laura T. Ring , Jonathan I. Helfman , Benjamin B. Bederson , James D. Hollan, Graphical multiscale Web histories: a study of padprints, Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems, p.58-65, June 20-24, 1998, Pittsburgh, Pennsylvania, United States [doi>10.1145/276627.276634]
	9	Jianying Hu , Amit Bagga, Categorizing Images in Web Documents, IEEE MultiMedia, v.11 n.1, p.22-30, January 2004 [doi>10.1109/MMUL.2004.1261103]
	10	Kaasten, S., Greenberg, S. and Edwards, C. (2002). How people recognize previously seen Web pages from titles, URLs and thumbnails. In Proceedings of HCI '02, pp. 247--265.
	11	Heidi Lam , Patrick Baudisch, Summary thumbnails: readable overviews for small screen web browsers, Proceedings of the SIGCHI conference on Human factors in computing systems, April 02-07, 2005, Portland, Oregon, USA [doi>10.1145/1054972.1055066]
	12	Lansdale, M. (1988). The psychology of personal information management. Applied Ergonomics, 19(1): 458--465.
	13	Takuya Maekawa , Takahiro Hara , Shojiro Nishio, Image classification for mobile web browsing, Proceedings of the 15th international conference on World Wide Web, May 23-26, 2006, Edinburgh, Scotland [doi>10.1145/1135777.1135789]
	14	Hartmut Obendorf , Harald Weinreich , Eelco Herder , Matthias Mayer, Web page revisitation revisited: implications of a long-term click-stream study of browser usage, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA [doi>10.1145/1240624.1240719]
	15	Ranie, L. and Shermak, J. (2005). Pew Internet and American Life Project: Data memo on search engine use. Retrieved from http://pewinternet.org/pdfs/PIP_SearchData_1105.pdf.
	16	RedZee. http://www.redzee.com
	17	George Robertson , Mary Czerwinski , Kevin Larson , Daniel C. Robbins , David Thiel , Maarten van Dantzich, Data mountain: using spatial memory for document management, Proceedings of the 11th annual ACM symposium on User interface software and technology, p.153-162, November 01-04, 1998, San Francisco, California, United States [doi>10.1145/288392.288596]
	18	Searchme. http://www.searchme.com
	19	Linda Tauscher , Saul Greenberg, How people revisit web pages: empirical findings and implications for the design of history systems, International Journal of Human-Computer Studies, v.47 n.1, p.97-137, July 1997 [doi>10.1006/ijhc.1997.0125]
	20	Jaime Teevan , Eytan Adar , Rosie Jones , Michael A. S. Potts, Information re-retrieval: repeat queries in Yahoo's logs, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, July 23-27, 2007, Amsterdam, The Netherlands [doi>10.1145/1277741.1277770]
	21	Epimenides Voutsakis , Euripides G. M. Petrakis , Evangelos Milios, Weighted Link Analysis for Logo and Trademark Image Retrieval on the Web, Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence, p.581-585, September 19-22, 2005 [doi>10.1109/WI.2005.162]
	22	Allison Woodruff , Andrew Faulring , Ruth Rosenholtz , Julie Morrsion , Peter Pirolli, Using thumbnails to search the Web, Proceedings of the SIGCHI conference on Human factors in computing systems, p.198-205, March 2001, Seattle, Washington, United States [doi>10.1145/365024.365098]
	23	Allison Woodruff , Ruth Rosenholtz , Julie B. Morrison , Andrew Faulring , Peter Pirolli, A comparison of the use of text summaries, plain thumbnails, and enhanced thumbnails for Web search tasks, Journal of the American Society for Information Science and Technology, v.53 n.2, p.172-185, January 15, 2002 [doi>10.1002/asi.10029]