Foundations of statistical natural language processing
Foundations of statistical natural language processing
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
Building bridges between neural models and complex decision making behaviour
Neural Networks - 2006 Special issue: Neurobiology of decision making
A Knowledge Base for the maintenance of knowledge extracted from web data
Knowledge-Based Systems
Stochastic Simulation of Web Users
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Predicting web user behavior using learning-based ant colony optimization
Engineering Applications of Artificial Intelligence
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Web usage have been studied from the point of view of machine learning. Although web usage prediction are mostly restricted to an static web site structure, hence this results to be a hard restriction to accomplish in the practice. We propose a decision-making model that allow predicting web users' navigation choices even in dynamics web sites. We propose a neurophysiological theory of web browsing decision making, which is based on the Leaky Competing Accumulator (LCA). The model is stochastic and has been studied in the context of Psychology for many years. Choices are performed to follow hyperlink according to user text preferences. This process is repeated until the web user decide to leave the web site. Model's parameters are required to be fitted in order to perform Monte Carlo simulations. It has been observed that nearly 73% of the real distribution is recovered by this method.