A Novel System based on GMM to understand the User’s Web Navigation Pattern
نویسندگان
چکیده
The latest development in the area of communication technology paved way towards the usage of E-commerce technologies. The B2B transaction has helped the customers to get the best resource by comparing various resources of same kind, leaving the business community in guessing about the user choice and the reasons beyond the user’s attraction about a product. To understand this changing patterns, intelligent techniques are needed which can help to understand the user’s navigation pattern. This paper proposes a model, using Gaussian Mixture Model to understand the web navigation pattern of the user, and help the business community to understand user guess and supply the customers according to their choice.
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