MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students

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contributor.author Hamdi, Mohamed Salah en_US
date.accessioned 2009-12-30T05:55:48Z en_US
date.available 2009-12-30T05:55:48Z en_US
date.issued 2006-02-23 en_US
identifier.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 746-771 en_US
identifier.uri http://dx.doi.org/10.1016/j.asoc.2006.02.001 en_US
identifier.uri http://hdl.handle.net/10576/10576 en_US
description.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.iso en en_US
publisher Elsevier B.V. en
subject Information customization en_US
subject Multi-agents en_US
subject E-Learning en_US
subject Machine learning en_US
subject Neural networks en_US
subject User modeling en_US
subject Web mining en_US
subject Expert systems en_US
title MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students en_US
type Article en_US


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