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Hyperlink assessment based on web usage mining

Published: 22 August 2006 Publication History

Abstract

One of the basic methods of web usage mining are association rules that indicate relationships among common use of web pages. Positive and confined negative association rules are the components of the new quality measures: Positive and Negative Quality function, respectively. These functions are used to evaluate the quality of hyperlinks existing on web pages. A number of statistics and the expert validation revealed the usefulness of association rules for the assessment of hyperlink usability.

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Cited By

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  • (2011)Fundamentals of association rules in data mining and knowledge discoveryWIREs Data Mining and Knowledge Discovery10.1002/widm.101:2(97-116)Online publication date: 18-Feb-2011
  • (2009)User-induced links in collaborative tagging systemsProceedings of the 18th ACM conference on Information and knowledge management10.1145/1645953.1646053(787-796)Online publication date: 2-Nov-2009
  • (2008)Usage-Based Positive and Negative Verification of User Interface StructureProceedings of the Fourth International Conference on Autonomic and Autonomous Systems10.1109/ICAS.2008.15(1-6)Online publication date: 16-Mar-2008
  • Show More Cited By

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cover image ACM Conferences
HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia
August 2006
178 pages
ISBN:1595934170
DOI:10.1145/1149941
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

Publication History

Published: 22 August 2006

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Author Tags

  1. hyperlink assessment
  2. negative association rules
  3. web mining

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HT06
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HT06: 17th Conference on Hypertext and Hypermedia
August 22 - 25, 2006
Odense, Denmark

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Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

View all
  • (2011)Fundamentals of association rules in data mining and knowledge discoveryWIREs Data Mining and Knowledge Discovery10.1002/widm.101:2(97-116)Online publication date: 18-Feb-2011
  • (2009)User-induced links in collaborative tagging systemsProceedings of the 18th ACM conference on Information and knowledge management10.1145/1645953.1646053(787-796)Online publication date: 2-Nov-2009
  • (2008)Usage-Based Positive and Negative Verification of User Interface StructureProceedings of the Fourth International Conference on Autonomic and Autonomous Systems10.1109/ICAS.2008.15(1-6)Online publication date: 16-Mar-2008
  • (2008)Hyperlink Recommendation Based on Positive and Negative Association RulesNew Generation Computing10.1007/s00354-008-0042-z26:3(227-244)Online publication date: 4-Jun-2008
  • (2007)Filtering of web recommendation lists using positive and negative usage patternsProceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III10.5555/1771230.1771372(1016-1023)Online publication date: 12-Sep-2007
  • (2007)Filtering of Web Recommendation Lists Using Positive and Negative Usage PatternsKnowledge-Based Intelligent Information and Engineering Systems10.1007/978-3-540-74829-8_124(1016-1023)Online publication date: 2007

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