Mastersthesis,
Um Framework Multiagente para a Personalização da Web baseado na Modelagem de Usuários e Mineração de Uso
Universidade Federal do Maranhão, (2005)Master Thesis.
Abstract
With the continuous migration of a great diversity of services to the Web, the need for characterising the users in this environment increases. For that, components that can continuously perceive their environment and rapidly adapt to its changes are required, thus reflecting the changes in the user behaviours.
Among the existing approaches for modelling Web users, Web usage mining appears as one of the most interesting. Through Web usage mining a user can be implicitly and automatically modelled through his/her usage data, generated from his/her interaction with the Web.
This work proposes ONTOWUM, a user modelling and usage mining-based multi-agent framework for Web personalisation.
The framework comprises two layers, where four agents are distributed according to their responsibilities: Interface agent, responsible for both capturing the user browsing information and performing the adaptation effects; User Modelling agent, responsible for creating and updating both user models and adaptation models; Acquirer agent, responsible for creating and updating an usage data repository containing past user models; and finally, Miner agent, responsible for both discovering group of users with similar browsing behaviour and classifying the current user in these groups. The Interface and User modelling agents belong to the information-processing layer, and the Acquirer and Miner agents belong to the pattern discovery layer.
The methodology and tool used to guide the analysis and design phases were MADEM ("Multi-Agent Domain Engineering Methodology") and ONTOMADEM, respectively. For the implementation of ONTOWUM it was used the JADE framework.
