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Two Methods for Auto-Organizing
Personal Web History
April 1, 2003
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BibTex
Authors

Scott Counts

Shelly Farnham

Lili Cheng
Publication Type
Inproceedings
Publisher
Association for Computing Machinery, Inc.
Copyright © 2004 by the Association for Computing Machinery, Inc. Permission to make
digital or hard copies of part or all of this work for personal or classroom use is granted without
fee provided that copies are not made or distributed for profit or commercial advantage and that
copies bear this notice and the full citation on the first page. Copyrights for components of this
work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy
otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific
permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212)
869-0481, or permissions@acm.org. The definitive version of this paper can be found at
ACM’s Digital Library –http://www.acm.org/dl/.
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Abstract
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Abstract
Two methods for automatically organizing personal web history were developed and evaluated,
and compared to the Internet Explorer history. One method grouped visited web pages based on
similarity of root URL and time co-occurrence. The second method started with the similarity
ratings and further associated or dissociated web pages using an associative learning rule. In a
preliminary experiment, participants reported that both methods organized their web history
significantly more like their own mental organization of their web history than did IE history.
Participants were also faster to revisit web pages using both organizations than when using IE
history.
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