Profile recommendation in communities of practice based on multiagent systems

Authors:
João Luis Tavares da Silva;Sidinei D. Lubenow;Alexandre M. Ribeiro
Affiliations:
Universidade de Caxias do Sul (UCS), Caxias do Sul, RS, Brazil;Universidade de Caxias do Sul (UCS), Caxias do Sul, RS, Brazil;Universidade de Caxias do Sul (UCS), Caxias do Sul, RS, Brazil
Venue:
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
Year:
2012

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Abstract

This work describes the study, analysis, modeling and implementation of information agents aiming to manage and share knowledge in a context of virtual Communities of Practice. The main goal is to define a decentralized platform to manage profiles of users and communities. Two types of agents have been modeled, one including the behaviors needed to agents representing communities and other including the behaviors needed to agents representing members of communities. These behaviors have access to the profiles, what allow agents to exchange information about interest and knowledge in order to receive recommendations according to similarities found. Some experiments are presented showing how the system works in a specific domain and the results obtained.