ClusteringWiki: Personalized and collaborative clustering of search results
|ClusteringWiki: Personalized and collaborative clustering of search results|
|Author(s)||Anastasiu D.C., Gao B.J., Buttler D.|
|Published in||SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval|
|Keyword(s)||Mass collaboration, Personalized clustering, Search result clustering, Web 2.0, Wiki (Extra: Mass collaboration, Personalized clustering, Search results, Web 2.0, Wiki, Clustering algorithms, Information retrieval, User interfaces, Web services, Search engines)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
ClusteringWiki: Personalized and collaborative clustering of search results is a 2011 conference paper written in English by Anastasiu D.C., Gao B.J., Buttler D. and published in SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval.
How 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 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.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers. Cited 1 time(s)