sistema de recomendação de produtos utilizando mineração de dados
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ID: 162923
2013
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Abstract
Este artigo apresenta o estudo da técnica de mineração de dados aplicada aos sistemas de recomendação e o desenvolvimento de um sistema computacional, para indicação de produtos a usuários conforme suas preferências e características. Com a utilização de técnicas de Mineração de Dados, Clusterização e Regras de Associação, advindas da área de Inteligência Artificial, o sistema desenvolvido visa integrar essas duas técnicas, gerando um sistema híbrido que fornece informações para a geração de recomendações.
Abstract This paper presents the study of data mining technique applied to recommender systems and the development of a computational system to indicate products to users according to their preferences and characteristics. With the use of techniques of Data Mining, Clustering and Association Rules, arising from the area of Artificial Intelligence, the developed system aims to integrate these two techniques, creating a hybrid system that provides information to generate recommendations.
Abstract This paper presents the study of data mining technique applied to recommender systems and the development of a computational system to indicate products to users according to their preferences and characteristics. With the use of techniques of Data Mining, Clustering and Association Rules, arising from the area of Artificial Intelligence, the developed system aims to integrate these two techniques, creating a hybrid system that provides information to generate recommendations.
| Reference Key |
garcia2013tecno-lgicasistema
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|---|---|
| Authors | ;Cássio Alan Garcia;Rejane Frozza |
| Journal | procedia engineering |
| Year | 2013 |
| DOI |
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