The study on network information filtering model

Information filtering technology is a hot research. In this paper we analyze three information filtering models, namely Boolean logical model, vector space model and latent semantic indexing model, also point out their defects. We, thereafter, put forward an information filtering model based on fuzzy set by introducing the fuzzy pattern recognition. At last, we do experiments to compare it with the commonly used vector space model. The result shows that the fuzzy set model is more efficient.