Increasing the Visibility of Search using Genetic Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract : The vast repository of informational databases i.e. Web is available to the user in the form of textual documents. It’s a challenge to develop an effective information retrieval approach that can ease the user search and increases the visibility of search. Genetic Algorithm based approach has been implemented to increase the visibility of search by expanding the query using Jaccard similarity function as fitness function. The step by step implementation of genetic algorithm for one generation has been explained in the paper and the experiment was repeated for 500 generations to obtain optimum keywords out of which the best suited keyword was considered for expanding the query. The effectiveness of the approach has been experimentally evaluated on manually created training data of retrieved documents for formulated queries using the Google search engine
Authors and Affiliations
Jaswinder Singh , Parvinder Singh , Yogesh Chaba
Keywords
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