Abstract
The web access behaviour of the web users is influenced by customers’ state of mind. The influence of the customers’ psychology in web access behaviour is analysed in this paper. Positive emotion along with positive mood induces better attitude in the web users’ behaviour whereas negative emotion along with negative mood induces a negative attitude among web users. The state of human mind changes along with the temporal property based on the emotion and mood. The statistical study on the historical data is used to discover the influence of mental state which affects the web users’ behaviour. Various machine learning algorithms along with statistics and psychology are studied to discover the knowledge about the web users’ access behaviour.
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