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Web Users’ Personality Traits Analysis

  • Conference paper
Distributed Computing and Internet Technology (ICDCIT 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5375))

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Abstract

Determining web users’ personality traits plays a vital role in understanding user navigation patterns & behaviours on the web. This information can then be used by various online firms to provide various personalized services to online customers. There are already numerous approaches towards analyzing user behavioural patterns. The client side tracking, server–side tracking, user remote tracker etc. are some of these. However all of them have certain inherent drawbacks which make them inappropriate for multi-user environments. We propose a new integrated approach and thereby develop a unique conceptual model which would prove to be extremely advantageous even in multi-user environments. We use user clicks to analyze the user behaviour along with the content on the various websites that the user visits. We also use a personality questionnaire which would help to further enhance our results and give a better understanding of the user’s personality traits.

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Tripathy, A.K., Gomes, C., Jain, A. (2008). Web Users’ Personality Traits Analysis. In: Parashar, M., Aggarwal, S.K. (eds) Distributed Computing and Internet Technology. ICDCIT 2008. Lecture Notes in Computer Science, vol 5375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89737-8_6

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  • DOI: https://doi.org/10.1007/978-3-540-89737-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89736-1

  • Online ISBN: 978-3-540-89737-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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