MICE: Aggregating and Classifying Meta Search Results into Self-Customized Categories

Authors:
Saravadee Sae Tan;Gan Keng Hoon;Tang Enya Kong;Cheong Sook Lin;Chan Siew Lin;Foo Wen Ying
Affiliations:
Universiti Sains Malaysia;Universiti Sains Malaysia;Universiti Sains Malaysia;Universiti Sains Malaysia;Universiti Sains Malaysia;Universiti Sains Malaysia
Venue:
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2004

Citing 2
Cited 1

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A Lazy Approach for Category Model Construction Using Training Texts

WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence

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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.