Abstract
In this era of Big Data, Web page searching and ranking in an efficient manner on WWW to satisfy the search needs of modern-day user is undoubtedly a major challenge for search engines. In this paper, we propose an innovative algorithm based on Hadoop–Map Reduce-supported cloud computing framework that can be implemented in the form of Meta Search and Page Ranking Tool to efficiently search and rank Big Data available on WWW which is increasing in the scale of megabytes to terabytes per day. An extensive experimental evaluation shows that the average ranking precision of proposed algorithm and Meta tool is better than other popular search engines.
CSI-2015, 50th Golden Jubilee Annual Convention on Digital Life (02nd–05th December, 2015), Delhi, India.
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Malhotra, D., Malhotra, M., Rishi, O.P. (2018). An Innovative Approach of Web Page Ranking Using Hadoop- and Map Reduce-Based Cloud Framework. In: Aggarwal, V., Bhatnagar, V., Mishra, D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-10-6620-7_40
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DOI: https://doi.org/10.1007/978-981-10-6620-7_40
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