Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
}
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 -