A Social Recommendation Mechanism for P2P Currency Exchange

Lien Fa Lin, Yung Ming Li, Wan Chen Shih

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, there are growing numbers of people going abroad for studying and traveling which indicates that the demand of currency exchanges is increasing. However, some problems are existed when we exchange currency through the banks. Consequently, the new financial service called P2P currency exchange emerged which aims to disrupt the foreign exchange (FX) markets. In this paper, we propose a recommendation mechanism for P2P currency exchange which is based on social networks and analyze users' preference, similarity and location-based service. Then evaluating social trust by social influence computing. We look forward to providing proper candidates and encouraging sharing economy in finance sector which greatly decrease the cost of currency exchange.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-102
Number of pages4
ISBN (Electronic)9781728126272
DOIs
StatePublished - Jul 2019
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: 7 Jul 201911 Jul 2019

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
CountryJapan
CityToyama
Period7/07/1911/07/19

Keywords

  • Fintech
  • P2P currency exchange
  • recommendation
  • social network
  • social trust

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  • Cite this

    Lin, L. F., Li, Y. M., & Shih, W. C. (2019). A Social Recommendation Mechanism for P2P Currency Exchange. In Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019 (pp. 99-102). [8992651] (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2019.00030