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Implementation of Recommendation System in a Web Browser with Help of Cloud Mining

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Abstract

In this paper, a Web browser that could redefine the user experience with mining and processing Web usage profiles of the user and provide suitable recommendations as and when required is introduced. The system developed shows recommendations for each website taken in the Web browser giving users an ease of accessing and comparing with the data they are looking for in the current session of the Web browser. For this implementation, a Web browser is created for collecting user logs and showing recommendations, and a cloud database server where user logs are saved and mined for patterns is built. A modified frequent itemset algorithm with the use of simple AND operation is used for implementation of the mining in the cloud and generating recommendations. The Web browser built is completely dynamic in nature and adjusts itself to show up-to-date recommendations as per the last session of the user.

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Author information

Authors and Affiliations

  1. Department of CSE, KVG College of Engineering, Sullia, 574239, DK, India

    U. J. Ujwal, P. J. Antony & K. R. Abhilash

Authors
  1. U. J. Ujwal
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  2. P. J. Antony
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  3. K. R. Abhilash
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Corresponding author

Correspondence to U. J. Ujwal .

Editor information

Editors and Affiliations

  1. Nitte Meenakshi Institute of Techno, Banglore, Karnataka, India

    N. R. Shetty

  2. Master of Comp Applications, Nitte Meenakshi Inst of Tech, Bangalore, Karnataka, India

    N Hamsavath Prasad

  3. Nitte Meenakshi Institute of Techno, Bangalore, Karnataka, India

    N. Nalini

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© 2016 Springer Science+Business Media Singapore

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Ujwal, U.J., Antony, P.J., Abhilash, K.R. (2016). Implementation of Recommendation System in a Web Browser with Help of Cloud Mining. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications . Springer, Singapore. https://doi.org/10.1007/978-981-10-0287-8_16

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  • DOI: https://doi.org/10.1007/978-981-10-0287-8_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0286-1

  • Online ISBN: 978-981-10-0287-8

  • eBook Packages: EngineeringEngineering (R0)

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