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User-induced Links in Collaborative Tagging Systems

User-induced Links in Collaborative Tagging Systems
User-induced Links in Collaborative Tagging Systems
Collaborative tagging systems allow users to use tags to describe their favourite online documents. Two documents that are maintained in the collection of the same user and/or assigned similar sets of tags can be considered as related from the perspective of the user, even though they may not be connected by hyperlinks. We call this kind of implicit relations user-induced links between documents. We consider two methods of identifying user-induced links in collaborative tagging, and compare these links with existing hyperlinks on the Web. Our analyses show that user-induced links have great potentials to enrich the existing link structure of the Web. We also propose to use these links as a basis for predicting how documents would be tagged. Our experiments show that they achieve much higher accuracy than existing hyperlinks. This study suggests that by studying the collective behaviour of users we are able to enhance navigation and organisation of Web documents.
Au Yeung, Ching Man
c83390b1-d3a1-459e-8f09-01c81576e066
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Au Yeung, Ching Man
c83390b1-d3a1-459e-8f09-01c81576e066
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Au Yeung, Ching Man, Gibbins, Nicholas and Shadbolt, Nigel (2009) User-induced Links in Collaborative Tagging Systems. 18th ACM Conference on Information and Knowledge Management. 02 - 06 Nov 2009. (Submitted)

Record type: Conference or Workshop Item (Paper)

Abstract

Collaborative tagging systems allow users to use tags to describe their favourite online documents. Two documents that are maintained in the collection of the same user and/or assigned similar sets of tags can be considered as related from the perspective of the user, even though they may not be connected by hyperlinks. We call this kind of implicit relations user-induced links between documents. We consider two methods of identifying user-induced links in collaborative tagging, and compare these links with existing hyperlinks on the Web. Our analyses show that user-induced links have great potentials to enrich the existing link structure of the Web. We also propose to use these links as a basis for predicting how documents would be tagged. Our experiments show that they achieve much higher accuracy than existing hyperlinks. This study suggests that by studying the collective behaviour of users we are able to enhance navigation and organisation of Web documents.

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More information

Submitted date: 2009
Additional Information: Event Dates: 2-6 November 2009
Venue - Dates: 18th ACM Conference on Information and Knowledge Management, 2009-11-02 - 2009-11-06
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 267961
URI: https://eprints.soton.ac.uk/id/eprint/267961
PURE UUID: bcd8bc28-ff65-425d-bb56-0a80fc4dad56
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 26 Sep 2009 10:27
Last modified: 06 Jun 2018 12:55

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