Existing information retrieval methods are mainly based on either term similarly or latent semantics. To reduce irrelevant information searched, this paper presents a new approach for information retrieval by applying methodology of association rules mining to a test database. Association semantics among terms of a document and a query are considered, such that the semantci similarity between the document and query may be reduced if they are somewhat irrelevant.