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Systemic Knowledge Synthesis for Product Recommendation

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Modeling Dependence in Econometrics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 251))

Abstract

This paper considers the problem of systemic knowledge synthesis for product recommendation based on the theory of knowledge construction systems. This theory suggests actors to collect knowledge from scientific, social, and creative dimensions and to synthesize them systemically. It is believed that the pursuit of systematic, or mathematical approach in the scientific dimension is the role of a researcher. This paper mainly introduces mathematical information aggregation techniques for product recommendation, but these techniques usually give only partial answers. Finally, the paper returns to the theory of knowledge synthesis to suggest how to provide a better answer to the problem.

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Correspondence to Yoshiteru Nakamori .

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Nakamori, Y. (2014). Systemic Knowledge Synthesis for Product Recommendation. In: Huynh, VN., Kreinovich, V., Sriboonchitta, S. (eds) Modeling Dependence in Econometrics. Advances in Intelligent Systems and Computing, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-319-03395-2_37

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  • DOI: https://doi.org/10.1007/978-3-319-03395-2_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03394-5

  • Online ISBN: 978-3-319-03395-2

  • eBook Packages: EngineeringEngineering (R0)

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