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ADAPTIVE FOCUSED CRAWLING STRATEGY FOR MAXIMISING THE RELEVANCE
Sagar Pise, Abhijit Kulkarni, Mangesh Udawant, Ganesh Shinde
Abstract: Identify the request of interest of user on world wide web, is challenging for, crawlers or spiders or boats so to effectively manage present the interest of user with the help of most relevant information retrieval we proposed system “Adaptive Focused Crawling Strategy for Maximising the Relevance” focused crawler focuses on the similar web technology to analysed semantic results and documents. with the help of lingo clustering algorithm ,In which system we represent the lingo as search result clustering algorithm which is based on the good quality of clusters . In the clustering the different kind of data are combining by considering the similarity among this data. The clustering search engine uses lingo algorithm to cluster the document using snippet. The conclusion with respective this document is made in final section.
Keywords: Focused Crawler, Lingo Algorithm, Snippet, Clustering
DOI: https://doi.org/10.15623/ijret.2015.0409041
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