DocumentCode :
2862101
Title :
MICE: Aggregating and Classifying Meta Search Results into Self-Customized Categories
Author :
Tan, Saravadee Sae ; Hoon, Gan Keng ; Kong, Tang Enya ; Lin, Cheong Sook ; Lin, Chan Siew ; Ying, Foo Wen
Author_Institution :
Universiti Sains Malaysia
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
771
Lastpage :
772
Abstract :
Having broad coverage of search results returned by various search sources, combining and organizing these results in a meaningful way has become a common issue in the field of information retrieval. In this demo paper, we describe our meta search system, MICE, that is able to aggregate and classify search results based on user-customized categories. Categories help user to focus on search results, with respect to the categories concept customized by the user.
Keywords :
Aggregates; Character generation; Classification algorithms; Diversity reception; Gallium nitride; Information retrieval; Metasearch; Mice; Organizing; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2100-2
Type :
conf
DOI :
10.1109/WI.2004.10017
Filename :
1410917
Link To Document :
بازگشت