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Title:
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PWUM: A WEB USAGE MINING MULTI-AGENT ARCHITECTURE FOR WEB PERSONALIZATION |
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Author(s):
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Fadoua Ouamani , Zeina Jrad , Marie-aude Aufaure , Hager Baazaoui Zghal , Henda Ben Ghezala |
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ISBN:
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978-972-8924-44-7 |
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Editors:
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Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa) |
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Year:
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2007 |
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Edition:
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V II, 2 |
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Keywords:
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Web usage mining, web personalization, multi-agent system, clustering, online classification. |
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Type:
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Short Paper |
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First Page:
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272 |
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Last Page:
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276 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Web usage mining is a tool for web personalization, since it captures and models behaviors and profiles of users
interacting with a web site. These models can be used by personalization systems to better understand the behavioral
characteristics of visitors improve the organization, the content and the structure of web sites and provide dynamic
recommendations to visitors. This paper describes the design of a web usage mining architecture for web personalization
(PWUM) implemented using a multi-agent platform. This latter is composed of a set of autonomous agents interacting
together in order to fulfill the main goal of the system. Agents are divided into modules that have well- defined tasks and
that are further divided into two working groups: offline and online. The data mining module is the main module of the
architecture since it provides the personalization module with patterns, the crucial key of the whole system. The multiagent
system in PWUM has been implemented using the Jade idiom. |
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