文章基本信息

标题：Improving Ranking Persian Subjects in Search Engine Using Fuzzy Inference System
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作者：Elaheh Golzardi ; Majid Meghdadi ; Abdolbaghi Ghaderzade 等
期刊名称：International Journal of Mechatronics, Electrical and Computer Technology
印刷版ISSN：2305-0543
出版年度：2013
卷号：3
期号：9
页码：330-344
出版社：Austrian E-Journals of Universal Scientific Organization
摘要：According to the research, the efficiency of the search engines which done the rankings of Farsi content was much lower than the English search engines. After reviewing the literature, we found that, so far there been no ratings Persian system with fuzzy system and however, due to its proven performance in the field of fuzzy systems, also a search engine designed to accomplish this goal. Therefore, we prefer to advance this goal, so we establish a fuzzy inference system. It is created with the best evidence that can be considered to have been largely bringing the intended page to a user. Proposed method, display the relevant pages to the user in order to allow users to reach to their intended pages with less time and less cost. Also, in order to evaluate this method, Comparisons with other search engines was done.
关键词：search engine; optimization; and ranking.