Word sense disambiguation using machine-readable dictionaries
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of a very large web search engine query log
ACM SIGIR Forum
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Web searching on the Vivisimo search engine
Journal of the American Society for Information Science and Technology
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Can social bookmarking enhance search in the web?
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Carrot2 and language properties in web search results clustering
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
An unsupervised model for exploring hierarchical semantics from social annotations
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Contextualising tags in collaborative tagging systems
Proceedings of the 20th ACM conference on Hypertext and hypermedia
A novel human computer interface based on hand gesture recognition using computer vision techniques
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Evaluation of Folksonomy Induction Algorithms
ACM Transactions on Intelligent Systems and Technology (TIST)
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Traditional Web search engines mostly adopt a keyword-based approach. When the keyword submitted by the user is ambiguous, search result usually consists of documents related to various meanings of the keyword, while the user is probably interested in only one of them. In this paper we attempt to provide a solution to this problem using a k-nearest-neighbour approach to classify documents returned by a search engine, by building classifiers using data collected from collaborative tagging systems. Experiments on search results returned by Google show that our method is able to classify the documents returned with high precision.