Title :
Web search result refinement by document clustering
Author :
Tsui, Ming Hei ; Lim, Bresley ; Shi, Daming
Author_Institution :
Nanyang Technol. Univ., Singapore
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;
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
DOI :
10.1109/ICSMC.2007.4413950
