Application of Matrix Singular Value Decomposition(SVD) in Latent Semantic Information Retrieval
Chunhong Wang · Modern Computer · 2011
Analyzes the features of matrix Singular Value Decomposition(SVD),tries to applies it in vector space model and improve it,thus realizing semantic-based information retrieval modole.This model delimits the influence of synonyms and polynyms,and improves representation accuracy of texts,thus realizing significant accuracy of retrieval.Therefore,it has obvious value.