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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281192