DocumentCode
2738974
Title
An information retrieval system based on automatic query expansion and Hopfield network
Author
Sheng, Xiuowei ; Minghu Jiang
Author_Institution
Dept. of Chinese Language, Tsinghua Univ., Beijing, China
Volume
2
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
1624
Abstract
Automatic query expansion technique has been extensively used in a variety of information retrieval (IR) systems as a means of solving the problems of information overload and word mismatch. Based on the technique and Hopfield network, we propose a new IR model, called LCA-ANN model. With the heuristic function of Hopfield network, the new model is more precise in query expansion compared with other current models and can therefore enhance the performance greatly.
Keywords
Hopfield neural nets; information retrieval systems; query formulation; Hopfield network; automatic query expansion; heuristic function; information retrieval system; local context analysis; word mismatch; Computational linguistics; Context modeling; Feedback; Information analysis; Information filtering; Information filters; Information resources; Information retrieval; Internet; Natural languages;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1281192
Filename
1281192
Link To Document