Article

Predicting outcomes of web navigation

Authors:

Jacek Gwizdka,

Ian SpenceAuthors Info & Claims

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

Pages 892 - 893

https://doi.org/10.1145/1062745.1062784

Published: 10 May 2005 Publication History

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Abstract

Two exploratory studies examined the relationships among web navigation metrics, measures of lostness, and success on web navigation tasks. The web metrics were based on counts of visits to web pages, properties of the web usage graph, and similarity to an optimal path. Metrics based on similarity to an optimal path were good predictors of lostness and task success.

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Cited By

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Roßrucker GUnger HKubek M(2022)Towards a New Link Recommendation IndicatorThe Autonomous Web10.1007/978-3-030-90936-9_6(79-94)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-90936-9_6
McEneaney JLi LAllen KGuzniczak L(2009)Stance, Navigation, and Reader Response in Expository HypertextJournal of Literacy Research10.1080/1086296080269508141:1(1-45)Online publication date: 1-Jan-2009
https://doi.org/10.1080/10862960802695081
Peña-Ortiz RSahuquillo JPont AGil J(2009)Dweb modelComputer Communications10.1016/j.comcom.2009.01.00232:6(1118-1128)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.1016/j.comcom.2009.01.002
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Index Terms

Predicting outcomes of web navigation
1. Applied computing
  1. Document management and text processing
    1. Document preparation
      1. Multi / mixed media creation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Hypertext / hypermedia

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Despite much research on hypertext and web navigation, relatively little is known about the relationship between web navigation strategies and success. We present two exploratory studies designed to explore the relationships between several web ...

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Information

Published In

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

May 2005

454 pages

ISBN:1595930515

DOI:10.1145/1062745

Conference Chairs:
Allan Ellis
Southern Cross University, Australia
,
Tatsuya Hagino
Keio University, Japan
,
Program Chairs:
Fred Douglis
IBM Research
,
Prabhakar Raghavan
Verity, Inc.

Permission to make digital or hard copies of all or part 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, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 10 May 2005

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Roßrucker GUnger HKubek M(2022)Towards a New Link Recommendation IndicatorThe Autonomous Web10.1007/978-3-030-90936-9_6(79-94)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-90936-9_6
McEneaney JLi LAllen KGuzniczak L(2009)Stance, Navigation, and Reader Response in Expository HypertextJournal of Literacy Research10.1080/1086296080269508141:1(1-45)Online publication date: 1-Jan-2009
https://doi.org/10.1080/10862960802695081
Peña-Ortiz RSahuquillo JPont AGil J(2009)Dweb modelComputer Communications10.1016/j.comcom.2009.01.00232:6(1118-1128)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.1016/j.comcom.2009.01.002
Gwizdka J(2009)Revisiting search task difficulty: Behavioral and individual difference measuresProceedings of the American Society for Information Science and Technology10.1002/meet.2008.145045024945:1(1-12)Online publication date: 3-Jun-2009
https://doi.org/10.1002/meet.2008.1450450249
Gwizdka JSpence I(2007)What Can Searching Behavior Tell Us About the Difficulty of Information Tasks? A Study of Web NavigationProceedings of the American Society for Information Science and Technology10.1002/meet.1450430116743:1(1-22)Online publication date: 10-Oct-2007
https://doi.org/10.1002/meet.14504301167

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Predicting and solving web navigation problems

Implicit measures of lostness and success in web navigation

Indirect assessment of web navigation success

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