Enhance the Efficiency of Query by Appling Genetic Algorithm Using Weighted Cosine Matching Function
Keywords:
Query Optimization, Genetic AlgorithmAbstract
Query Optimization is a technique which refines the search space and increase the relevance of retrieved information. It help user to extract required information quickly and effectively. There are various methods which are used to optimize user query. In this paper Genetic Algorithm and weighted matching function is used for query Optimization. Genetic Algorithm is used for optimization. It explores and exploits user search space. It inspired by biological optimization algorithm. Matching Function is a technique which is used to measure the degree of similarity between query and document. By using GA and matching function efficiency of user query is enhance.
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