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Summarizing personal web browsing sessions
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 19th annual ACM symposium on User interface software and technology table of contents
Montreux, Switzerland
SESSION: Browsing & scrolling table of contents
Pages: 115 - 124  
Year of Publication: 2006
ISBN:1-59593-313-1
Authors
Mira Dontcheva  University of Washington, Seattle, WA
Steven M. Drucker  Microsoft Research, Redmond, WA
Geraldine Wade  Microsoft, Redmond, WA
David Salesin  University of Washington, Seattle, WA and Adobe Systems, Seattle, WA
Michael F. Cohen  Microsoft Research, Redmond, WA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 50,   Downloads (12 Months): 421,   Citation Count: 12
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APPENDICES and SUPPLEMENTS
Zipp115-slides.zip (21.67 MB),
Supplemental material for Summarizing personal web browsing sessions


ABSTRACT

We describe a system, implemented as a browser extension, that enables users to quickly and easily collect, view, and share personal Web content. Our system employs a novel interaction model, which allows a user to specify webpage extraction patterns by interactively selecting webpage elements and applying these patterns to automatically collect similar content. Further, we present a technique for creating visual summaries of the collected information by combining user labeling with predefined layout templates. These summaries are interactive in nature: depending on the behaviors encoded in their templates, they may respond to mouse events, in addition to providing a visual summary. Finally, the summaries can be saved or sent to others to continue the research at another place or time. Informal evaluation shows that our approach works well for popular websites, and that users can quickly learn this interaction model for collecting content from the Web.


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  12

Collaborative Colleagues:
Mira Dontcheva: colleagues
Steven M. Drucker: colleagues
Geraldine Wade: colleagues
David Salesin: colleagues
Michael F. Cohen: colleagues