Web Pages Clustering and Concepts Mining: An approach towards Intelligent Information Retrieval
Fang Li, Martin Mehlitz, Li Feng, Huanye Sheng · 2006
The amount of information on the Web is growing at an exponential rate. Information overload has brought a heavy burden for modern life. Keyword based search engines no long fill the needs of many people. This paper introduces an approach towards intelligent information retrieval by providing clustered Web pages and minded concepts based on results of search engines. Web page clustering is based on SVD (singular value decomposition), concepts mining is implemented with a revision of Apriori algorithm. Experiments on three different kinds of keyword as queries to information retrieval have showed a promising result