research-article

Profile-Based Summarisation for Web Site Navigation

Authors:

Udo Kruschwitz,

M-Dyaa AlbakourAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 33, Issue 1

Article No.: 4, Pages 1 - 39

https://doi.org/10.1145/2699661

Published: 17 February 2015 Publication History

Abstract

Information systems that utilise contextual information have the potential of helping a user identify relevant information more quickly and more accurately than systems that work the same for all users and contexts. Contextual information comes in a variety of types, often derived from records of past interactions between a user and the information system. It can be individual or group based. We are focusing on the latter, harnessing the search behaviour of cohorts of users, turning it into a domain model that can then be used to assist other users of the same cohort. More specifically, we aim to explore how such a domain model is best utilised for profile-biased summarisation of documents in a navigation scenario in which such summaries can be displayed as hover text as a user moves the mouse over a link. The main motivation is to help a user find relevant documents more quickly. Given the fact that the Web in general has been studied extensively already, we focus our attention on Web sites and similar document collections. Such collections can be notoriously difficult to search or explore. The process of acquiring the domain model is not a research interest here; we simply adopt a biologically inspired method that resembles the idea of ant colony optimisation. This has been shown to work well in a variety of application areas. The model can be built in a continuous learning cycle that exploits search patterns as recorded in typical query log files. Our research explores different summarisation techniques, some of which use the domain model and some that do not. We perform task-based evaluations of these different techniques—thus of the impact of the domain model and profile-biased summarisation—in the context of Web site navigation.

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Index Terms

Profile-Based Summarisation for Web Site Navigation
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 33, Issue 1

Special Issue on Contextual Search and Recommendation

March 2015

148 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/2737806

Editor:
Maarten de Rijke
University of Amsterdam, The Netherlands

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Association for Computing Machinery

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Publication History

Published: 17 February 2015

Accepted: 01 November 2014

Revised: 01 September 2014

Received: 01 March 2014

Published in TOIS Volume 33, Issue 1

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Carevic ZSchüller SMayr PFuhr NChen JGonçalves MAllen JFox EKan MPetras V(2018)Contextualised Browsing in a Digital Library's Living LabProceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries10.1145/3197026.3197054(89-98)Online publication date: 23-May-2018
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Qazi AGoudar R(2018)An Ontology-based Term Weighting Technique for Web Document CategorizationProcedia Computer Science10.1016/j.procs.2018.07.010133(75-81)Online publication date: 2018
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Brusilovsky PSmyth BShapira B(2018)Social SearchSocial Information Access10.1007/978-3-319-90092-6_7(213-276)Online publication date: 3-May-2018
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Akuma SIqbal RJayne CDoctor F(2016)Comparative analysis of relevance feedback methods based on two user studiesComputers in Human Behavior10.1016/j.chb.2016.02.06460:C(138-146)Online publication date: 1-Jul-2016
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Akuma SJayne CIqbal RDoctor F(2015)Inferring Users’ Interest on Web Documents Through Their Implicit BehaviourEngineering Applications of Neural Networks10.1007/978-3-319-23983-5_29(315-324)Online publication date: 22-Oct-2015
https://doi.org/10.1007/978-3-319-23983-5_29

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