Title :
Cognitive approaches to intelligent information retrieval
Author_Institution :
New Media Lab., Univ. of Western Ontario, London, Ont., Canada
Abstract :
The paper describes an empirical study conducted to determine which features are significant to humans for clustering and information retrieval algorithms. New methods for comparing sets of clusters created by both humans and machine are described. The results of these experiments are then used to make recommendations for the design of conceptual clustering algorithms
Keywords :
cognitive systems; human factors; information retrieval; knowledge based systems; pattern recognition; user interfaces; cognitive approaches; conceptual clustering algorithms; information retrieval algorithms; intelligent information retrieval; Algorithm design and analysis; Bonding; Clustering algorithms; Humans; Image retrieval; Information retrieval; Machine learning; Machine learning algorithms; Testing; Writing;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.614839
