Titlebook: Evolution of the Web in Artificial Intelligence Environments; Richi Nayak,Nikhi Ichalkaranje,Lakhmi C. Jain Book 2008 Springer-Verlag Berl

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Erich Fromm’s Revolutionary Hopel applications. In this chapter, we provide a review of our recent work on developing a Web-based intelligent tutoring system for computer programming. The decision making process conducted in our intelligent system is guided by Bayesian networks, which are a proven framework for uncertainty managem

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https://doi.org/10.1007/978-90-481-3560-8serve a variety of purposes from governance rulings to forecasts for planning. The Internet hosts a suite of collective decision making systems, some that were inconceivable before the web. In this paper, we present a taxonomy of collective decision making systems into which we place seven principal

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Innovations in Web Applications by Using the Artificial Intelligence Paradigm,Web to the user. The motivation for this trend is the growth of the internet and the increasing difficulty for users to navigate the web to find useful information and applications. This chapter shows how artificial intelligence techniques can be utilized to improve the Web and the benefits that can

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Modeling Interests of Web Users for Recommendation: A User Profiling Approach and Trends,equence, a critical component for these agents is their capacity to acquire and model user interest categories as well as adapt them to changes in user interests over time. In this chapter, we address the problem of modeling the information preferences of Web users and its distinctive characteristic

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