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Neto, Joaquim, Morais, A. Jorge, Gonçalves
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Autor:
Neto, Joaquim, Morais, A. Jorge, Gonçalves, Ramiro Manuel Ramos Moreira, Coelho, António Leça
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Título: Multi-agent-based recommender systems: a literature review
Autor: Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António Leça
Resumo: Considering the growing volume of information and services available
on the Web, it has become essential to provide Web sites and applications with
tools, such as recommender systems, capable of helping their users to obtain the
information and services appropriate to their interests. Due to the complexity of
Web adaptation and the ability of multi-agent systems to deal with complex problems, the multi-agent systems technology have been increasing. In this paper, we
present a thorough survey of the use of multi-agent-based recommender systems.
The results show that the use of multi-agent systems in recommender systems is
increasing. The review shows the diversity of applications of multi-agent systems
in recommender systems, namely on what concerns to the diversity of domains,
different types of approaches, contributing to improving the performance of the
recommendation systems.
Autor: Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António Leça
Resumo: Considering the growing volume of information and services available
on the Web, it has become essential to provide Web sites and applications with
tools, such as recommender systems, capable of helping their users to obtain the
information and services appropriate to their interests. Due to the complexity of
Web adaptation and the ability of multi-agent systems to deal with complex problems, the multi-agent systems technology have been increasing. In this paper, we
present a thorough survey of the use of multi-agent-based recommender systems.
The results show that the use of multi-agent systems in recommender systems is
increasing. The review shows the diversity of applications of multi-agent systems
in recommender systems, namely on what concerns to the diversity of domains,
different types of approaches, contributing to improving the performance of the
recommendation systems.
Info Adicional:
Título: Multi-agent-based recommender systems: a literature review Autor: Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Manuel Ramos Moreira; Coelho, António Leça Resumo: Considering the growing volume of information and services available on the Web, it has become essential to provide Web sites and applications with tools, such as recommender systems, capable of helping their users to obtain the information and services appropriate to their interests. Due to the complexity of Web adaptation and the ability of multi-agent systems to deal with complex problems, the multi-agent systems technology have been increasing. In this paper, we present a thorough survey of the use of multi-agent-based recommender systems. The results show that the use of multi-agent systems in recommender systems is increasing. The review shows the diversity of applications of multi-agent systems in recommender systems, namely on what concerns to the diversity of domains, different types of approaches, contributing to improving the performance of the recommendation systems.
Autor:
Neto, Joaquim, Morais, A. Jorge, Gonçalves, Ramiro Manuel Ramos Moreira, Coelho, António Leça
Clica para continuares a ler...