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A framework for personalized and collaborative clustering of search results
Abstract How to organize and present search resultsHow to organize and present search results plays a critical role in the utility of search engines. Due to the unprecedented scale of the Web and diversity of search results, the common strategy of ranked lists has become increasingly inadequate, and clustering has been considered as a promising alternative. Clustering divides a long list of disparate search results into a few topic-coherent clusters, allowing the user to quickly locate relevant results by topic navigation. While many clustering algorithms have been proposed that innovate on the automatic clustering procedure, we introduce ClusteringWiki, the first prototype and framework for personalized clustering that allows direct user editing of the clustering results. Through a Wiki interface, the user can edit and annotate the membership, structure and labels of clusters for a personalized presentation. In addition, the edits and annotations can be shared among users as a mass-collaborative way of improving search result organization and search engine utility.lt organization and search engine utility.
Abstractsub How to organize and present search resultsHow to organize and present search results plays a critical role in the utility of search engines. Due to the unprecedented scale of the Web and diversity of search results, the common strategy of ranked lists has become increasingly inadequate, and clustering has been considered as a promising alternative. Clustering divides a long list of disparate search results into a few topic-coherent clusters, allowing the user to quickly locate relevant results by topic navigation. While many clustering algorithms have been proposed that innovate on the automatic clustering procedure, we introduce ClusteringWiki, the first prototype and framework for personalized clustering that allows direct user editing of the clustering results. Through a Wiki interface, the user can edit and annotate the membership, structure and labels of clusters for a personalized presentation. In addition, the edits and annotations can be shared among users as a mass-collaborative way of improving search result organization and search engine utility.lt organization and search engine utility.
Bibtextype inproceedings  +
Doi 10.1145/2063576.2063662  +
Has author Anastasiu D.C. + , Gao B.J. + , Buttler D. +
Has extra keyword Document Clustering + , Mass collaboration + , Personalized clustering + , Search result organization + , Search results + , Social tagging + , Wiki + , Information retrieval + , Knowledge management + , Search engine + , World Wide Web + , Clustering algorithms +
Has keyword Document clustering + , Information retrieval + , Mass collaboration + , Personalized clustering + , Search result clustering + , Search result organization + , Social tagging + , Wiki +
Isbn 9781450307178  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 573–582  +
Published in International Conference on Information and Knowledge Management, Proceedings +
Title A framework for personalized and collaborative clustering of search results +
Type conference paper  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 6 November 2014 11:45:34  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 11:45:34  +
DateThis property is a special property in this wiki. 2011  +
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