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A Framework to Collect and Visualize User’s Browser History for Better User Experience and Personalized Recommendations

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 83))

Abstract

In all the modern browsers, maintaining user’s web history is one of the primary tasks. Browser history will help to summarize the activity of the user during a certain period. However, current browser history is not so efficient to visualize in a user-friendly manner and also doesn’t provide enough information for personalized recommendations. One of the key reason is that browsers never maintain any inter-connection between history items. Overall history is maintained in a linear fashion with no information about how the user reached to a particular state. Another issue is that it is not possible to calculate how much time the user spent on any particular website using current history system. This paper provides a conceptual idea of solving these issues by providing a framework that solves this issue by introducing linked data and also describes how this can benefit in improving user experience and quality of recommendations.

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Correspondence to K. Manoj Kumar .

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Kandala, H., Tripathy, B.K., Manoj Kumar, K. (2018). A Framework to Collect and Visualize User’s Browser History for Better User Experience and Personalized Recommendations. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1. ICTIS 2017. Smart Innovation, Systems and Technologies, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-319-63673-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-63673-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63672-6

  • Online ISBN: 978-3-319-63673-3

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