Home > Research > Publications & Outputs > Exploring Web Search Results Clustering

Links

Text available via DOI:

View graph of relations

Exploring Web Search Results Clustering

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Published

Standard

Exploring Web Search Results Clustering. / Wang, Xiaoxia; Bramer, Max; Coenen, Frans (Editor) et al.
Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. IEEE, 2007. p. 393-397.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)peer-review

Harvard

Wang, X, Bramer, M, Coenen, F (ed.) & Tuson, A (ed.) 2007, Exploring Web Search Results Clustering. in Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. IEEE, pp. 393-397. https://doi.org/10.1007/978-1-84628-663-6_30

APA

Wang, X., Bramer, M., Coenen, F. (Ed.), & Tuson, A. (Ed.) (2007). Exploring Web Search Results Clustering. In Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 393-397). IEEE. https://doi.org/10.1007/978-1-84628-663-6_30

Vancouver

Wang X, Bramer M, Coenen F, (ed.), Tuson A, (ed.). Exploring Web Search Results Clustering. In Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. IEEE. 2007. p. 393-397 doi: 10.1007/978-1-84628-663-6_30

Author

Wang, Xiaoxia ; Bramer, Max ; Coenen, Frans (Editor) et al. / Exploring Web Search Results Clustering. Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. IEEE, 2007. pp. 393-397

Bibtex

@inbook{e0699e2bf1064493a20e8571ed64c555,
title = "Exploring Web Search Results Clustering",
abstract = "As the number of documents on the web has proliferated, the low precision of conventional web search engines and the flat ranked search results presentation make it difficult for users to locate specific information of interest. Grouping web search results into a hierarchy of topics provides an alternative to the flat ranked list and facilitates searching and browsing. In this paper, we present a brief survey of previous work on web search results clustering and existing commercial search engines using this technique, discuss two key issues of web search results clustering: cluster summarisation and evaluation and propose some directions for future research.",
keywords = "search result",
author = "Xiaoxia Wang and Max Bramer and Frans Coenen and Andrew Tuson",
year = "2007",
doi = "10.1007/978-1-84628-663-6_30",
language = "English",
isbn = "9781846286629",
pages = "393--397",
booktitle = "Research and Development in Intelligent Systems XXIII",
publisher = "IEEE",

}

RIS

TY - CHAP

T1 - Exploring Web Search Results Clustering

AU - Wang, Xiaoxia

AU - Bramer, Max

A2 - Coenen, Frans

A2 - Tuson, Andrew

PY - 2007

Y1 - 2007

N2 - As the number of documents on the web has proliferated, the low precision of conventional web search engines and the flat ranked search results presentation make it difficult for users to locate specific information of interest. Grouping web search results into a hierarchy of topics provides an alternative to the flat ranked list and facilitates searching and browsing. In this paper, we present a brief survey of previous work on web search results clustering and existing commercial search engines using this technique, discuss two key issues of web search results clustering: cluster summarisation and evaluation and propose some directions for future research.

AB - As the number of documents on the web has proliferated, the low precision of conventional web search engines and the flat ranked search results presentation make it difficult for users to locate specific information of interest. Grouping web search results into a hierarchy of topics provides an alternative to the flat ranked list and facilitates searching and browsing. In this paper, we present a brief survey of previous work on web search results clustering and existing commercial search engines using this technique, discuss two key issues of web search results clustering: cluster summarisation and evaluation and propose some directions for future research.

KW - search result

U2 - 10.1007/978-1-84628-663-6_30

DO - 10.1007/978-1-84628-663-6_30

M3 - Chapter (peer-reviewed)

SN - 9781846286629

SP - 393

EP - 397

BT - Research and Development in Intelligent Systems XXIII

PB - IEEE

ER -