MICE: Aggregating and Classifying Meta Search Results into Self-Customized Categories
Saravadee Sae Tan, Keng Hoon Gan, Tang Enya Kong, Cheong Sook Lin, Chan Siew Lin, Foo Wen Ying · Web Intelligence · 2004
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.