A neural network-based intelligent metasearch engine
Authors:
Bo Shu and Subhash Kak
Affiliation:
Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Abstract:
Determining the relevancy of web pages to a query term is basic to the working of any search engine. In this paper we present a neural network based algorithm to classify the relevancy of search results on a metasearch engine. The fast learning neural network technology used by us enables the metasearch engine to handle a query term in a reasonably short time and return the search results with high accuracy.