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An Investment Recommender Multi-agent System in Financial Technology

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International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 (SOCO’18-CISIS’18-ICEUTE’18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 771))

Abstract

In this article is presented a review of the state of the art on Financial Technology (Fintech) for the design of a novel recommender system. A social computing platform is proposed, based on Virtual Organizations (VOs), that allows to improve user experience in actions that is associated with the process of investment recommendation. The work presents agents functionalities and an algorithm that will improve the accuracy of the Recommender_agent which is in charge of the Case-based reasoning (CBR) system. The data that will be collected and will feed the CBR corresponds to user’s characteristics, the asset classes, profitability, interest rate, history stock market information and financial news published in the media.

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Acknowledgments

This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. Project: SURF, Intelligent System for integrated and sustainable management of urban fleets TIN2015-65515-C4-3-R.

Author information

Authors and Affiliations

  1. BISITE Digital Innovation Hub, University of Salamanca, Edificio Multiusos I+D+I, 37007, Salamanca, Spain

    Elena Hernández, Inés Sittón, Sara Rodríguez & Ana B. Gil

  2. E. Politécnica Superior de Zamora, University of Salamanca, Edificio Politécnica, 236, Zamora, Spain

    Roberto J. García

Authors
  1. Elena Hernández
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  2. Inés Sittón
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  3. Sara Rodríguez
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  4. Ana B. Gil
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  5. Roberto J. García
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Corresponding authors

Correspondence to Elena Hernández or Sara Rodríguez .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Manuel Graña

  2. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country, Sarriena, Vizcaya, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Salamanca, Spain

    José Antonio Sáez

  6. Department of Industrial Engineering, University of A Coruña, La Coruña, La Coruña, Spain

    Héctor Quintián

  7. University of Salamanca, Salamanca, Salamanca, Spain

    Emilio Corchado

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Hernández, E., Sittón, I., Rodríguez, S., Gil, A.B., García, R.J. (2019). An Investment Recommender Multi-agent System in Financial Technology. In: Graña, M., et al. International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing, vol 771. Springer, Cham. https://doi.org/10.1007/978-3-319-94120-2_1

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