An Innovative Approach of Web Page Ranking Using Hadoop- and Map Reduce-Based Cloud Framework

Malhotra, Dheeraj; Malhotra, Monica; Rishi, O. P.

doi:10.1007/978-981-10-6620-7_40

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Cited by 6 publications

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“…The data must be in .csv format as required by the Statistics R tool. The .csv format file will consist of the data about the following five variables [11]:…”

Section: System Designmentioning

confidence: 99%

Imss-E

Malhotra

Rishi

2016

Proceedings of the International Conference on Advances in Information Communication Technology &Amp; Computing - AICTC '16

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This article proposes a generic presentation system for hypermedia systems of adaptive teaching that is highly independent from the representation of domain knowledge and the application state maintenance. Generality is achieved by providing an application framework for the definition of ontologies that best fit a domain or a specific author. The presentation of the pages to be generated is described in terms of classes and relationships of the ontology. For this purpose, a web page ranking algorithm based on automatic learning is used, specifically, the algorithm for Advanced Cluster Vector Page Ranking (ACVPR). This algorithm provides the user a powerful meta-search tool that presents a ranking order of the web page to quickly meet custom needs, especially when the search is erroneous or incomplete.

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“…The data must be in .csv format as required by the Statistics R tool. The .csv format file will consist of the data about the following five variables [11]:…”

Section: System Designmentioning

confidence: 99%