DocumentCode
2545526
Title
Web search result refinement by document clustering
Author
Tsui, Ming Hei ; Lim, Bresley ; Shi, Daming
Author_Institution
Nanyang Technol. Univ., Singapore
fYear
2007
fDate
7-10 Oct. 2007
Firstpage
3081
Lastpage
3086
Abstract
A simple search keyword usually returns million of search results. The result count may appear impressive, at the same time it confuse the users. User usually will not wish to browse through million of entries. This paper proposed a query refinement method by iterative clustering of information from the Web page content. QRSE system is developed to demonstrate the above mentioned concept.
Keywords
Internet; document handling; iterative methods; pattern clustering; query processing; search engines; Web page content; Web search result refinement; document clustering; iterative clustering; query refinement search engine; search keyword; Clustering algorithms; Data mining; Electronic mail; Feedback; Search engines; Static VAr compensators; Support vector machine classification; Support vector machines; Web pages; Web search; Query Expansion; Query Refinement; User Feedback; Web Search;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
978-1-4244-0990-7
Electronic_ISBN
978-1-4244-0991-4
Type
conf
DOI
10.1109/ICSMC.2007.4413950
Filename
4413950
Link To Document