earticle

영어

Fuzzy search algorithm with hybrid semantic similarity is proposed aiming at serious performance issues in information retrieval, which results from fuzzy search condition, in search engine land. First of all, new conceptual extraction method is proposed according to similarity calculation concept; after that, TF-IQF is adopted to divide the link into tabs, and the set comprised of these tabs is used for indicating the query; ultimately, binary graph is constructed to identify related queries and is employed to compute query similarity. Experimental results show that proposed algorithm has achieved better recall ratio, retrieval precision and F-measure compared with clicking document, related queries and reverse query algorithm.