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Author Hamdi, Mohamed Salahen_US
Available date 2009-12-30T05:55:48Zen_US
Publication Date 2006-02-23en_US
Publication Name Applied Soft Computing
Citation Mohamed Salah Hamdi, MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students, Applied Soft Computing, Volume 7, Issue 3, June 2007, Pages 746-771en_US
URI http://dx.doi.org/10.1016/j.asoc.2006.02.001en_US
URI http://hdl.handle.net/10576/10576en_US
Abstract The growth and advancement in the Internet and the World Wide Web has led to an explosion in the amount of available information. This staggering amount of information has made it extremely difficult for users to locate and retrieve information that is actually relevant to their task at hand. Dealing with this problem of “information overload” will need tools to customize the information space. In this paper we present MASACAD, a multi-agent system that learns to advise students by mining the Web and discuss important problems in relationship to information customization systems and smooth the way for possible solutions. The main idea is to approach information customization using a multi-agent paradigm in combination with a number of aspects from the domains of machine learning, user modeling, and Web mining.en_US
Language enen_US
Publisher Elsevier B.V.en
Subject Information customizationen_US
Subject Multi-agentsen_US
Subject E-Learningen_US
Subject Machine learningen_US
Subject Neural networksen_US
Subject User modelingen_US
Subject Web miningen_US
Subject Expert systemsen_US
Title MASACAD: A multi-agent approach to information customization for the purpose of academic advising of studentsen_US
Type Articleen_US


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