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  • 标题:Priority Based Search Using Fuzzy Logic and Hadoop
  • 本地全文:下载
  • 作者:Tushar Kapadnis ; Harshal Patil ; Abhimanyu Malave
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:4
  • 页码:9194
  • DOI:10.15680/IJIRCCE.2017.05040385
  • 出版社:S&S Publications
  • 摘要:Efficient Search is an emerging information retrieval technology used to retrieve information from theWorld Wide Web or say Internet. It uses various techniques together to achieve good quality results in minimum time.It uses mainly fuzzy logic, proximity ranking. When users search on line for anything master dataset allocates thedynamic priority for the results. Then the results is saved in file which is uploaded in HDFS. When system is off line,To determine the most searched results on the Internet Proximity ranking is used to rank results so that it can show themost desired results first then less desired one. Algorithms have been used to scan the files created when content issearched on line and generate the relevant results according to the dynamic priority allocation. The main challenge inthis work is to minimize the search time so it also implements instant search technique. Algorithm has beenimplemented for finding the most appropriate results so that most searched results according to the priority will appearfirst, also proximity ranking algorithm has been used to implement ranking. This paper includes implementation of allabove techniques together to create Search optimization technique and to find most searched results according to thedynamic priority allocation. It also shows various experiments carried out on this system. It also presents deep analysisof efficiency & performance of this new system and old one.
  • 关键词:Search engine Optimization; Ranking; Hadoop; HDFS; fuzzy logic;Dynamic priority
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