MICROCOSM: an open model for hypermedia with dynamic linking
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Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Implicit link analysis for small web search
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Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
A class-based approach to word alignment
Computational Linguistics
Hyperlink analysis on the world wide web
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Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Exploring social annotations for the semantic web
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A comparison of implicit and explicit links for web page classification
Proceedings of the 15th international conference on World Wide Web
Hyperlink assessment based on web usage mining
Proceedings of the seventeenth conference on Hypertext and hypermedia
Finding Unknown Interests Utilizing the Wisdom of Crowds in a Social Bookmark Service
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Ontologies are us: A unified model of social networks and semantics
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Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Personalized recommendation in social tagging systems using hierarchical clustering
Proceedings of the 2008 ACM conference on Recommender systems
Telling experts from spammers: expertise ranking in folksonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Demand-driven tag recommendation
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Post-based collaborative filtering for personalized tag recommendation
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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.