DocumentCode :
279090
Title :
Cluster-based adaptive information retrieval
Author :
Bhuyan, Jay N. ; Deogun, Jitender S. ; Raghavan, Vijay V.
Author_Institution :
Dept. of Comput. Sci., Tuskegee Univ., AL, USA
Volume :
i
fYear :
1991
fDate :
8-11 Jan 1991
Firstpage :
307
Abstract :
The paper discusses the issues involved in the design of a complete information retrieval system based on user-oriented clustering schemes. Clusters are constructed taking into account the users´ perception of similarity between documents. The system accumulates feed-back from the users and employs it to construct user-oriented clusters. An optimization function to improve the effectiveness of the clustering process is developed. A retrieval process based on the clustering scheme is described. The system developed is experimentally validated and compared with existing systems
Keywords :
adaptive systems; information retrieval; cluster based adaptive information retrieval; co-relevant; document classification; document similarity; information retrieval system; optimization function; relevance feedback; user-oriented clustering schemes; Computer science; Feedback; Indexing; Information retrieval; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
Type :
conf
DOI :
10.1109/HICSS.1991.183900
Filename :
183900
Link To Document :
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