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An Investment Recommender Multi-agent System in Financial Technology

  • Elena HernándezEmail author
  • Inés Sittón
  • Sara RodríguezEmail author
  • Ana B. Gil
  • Roberto J. García
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Financial Technology Virtual organization of agents Recommender system Hybrid A.I. algorithm Investment decisions 

Notes

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.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.BISITE Digital Innovation HubUniversity of SalamancaSalamancaSpain
  2. 2.E. Politécnica Superior de ZamoraUniversity of SalamancaZamoraSpain

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