Identifying frequent terms in text databases by association semantics
Xiaowei Sherry Yan, Chengqi Zhang, Shichao Zhang · 2004
Existing information retrieval methods are mainly based on either term similarity or latent semantics. To reduce irrelevant information searched, this paper presents a new approach for information retrieval by applying the methodology of association rule mining to a text database. Association semantics among terms of a document and a query are considered, such that the semantic similarity between the document and query may be reduced if they are somewhat irrelevant.