Web Users' Personality Traits Analysis

Determining web users' personality traits plays a vital role in understanding user navigation patterns & behaviours oil the web. This information can then be used by various online firms to provide various personalized set-vices to online customers. There are already numerous approaches towards lyzing 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 ill multi-user environments. We use user clicks to analyze the user behaviour along with the content oil the various websites that the user visits. We also use :1 personality questionnaire which would help to further enhance our results and give a better understanding of the user's personality traits.