Web Pages Retrieval with Adaptive Neuro Fuzzy System based on Content and Structure
Автор: Mohammad Saber Iraji, Hakimeh Maghamnia, Marzieh Iraji
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 8 vol.7, 2015 года.
Бесплатный доступ
Volume of web pages and information on the web is constantly increasing. In this paper, we presented a system to retrieve pages relevant to a query, that can be used by the search engines. The design of our proposed system, content, Page content of neighbors, Connectivity (link analysis) features were used and the methods of fuzzy Sugeno and adaptive fuzzy neural network methods considered .Results showed that the neural method, the error is less than other methods, in the retrieval of web pages tailored to the users search query on the Web, can increase the efficiency of search engines.
Web pages retrieval, adaptive neuro fuzzy, search engines
Короткий адрес: https://sciup.org/15014787
IDR: 15014787
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