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Quantum Game-Based Recommender Systems for Disruptive Innovations

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Intelligent Information and Database Systems (ACIIDS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11431))

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Abstract

A recommender system based on quantum game for disruptive innovations is proposed. Permutation operators are used to determine the dominance of players on the game, while several possibilities of measurement scheme of quantum game are utilized for harnessing disruptive innovations. It is shown in this manuscript that mathematical properties in quantum mechanics can be implemented for the extensions of recommender system capabilities.

Supported by Bina Nusantara University.

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Acknowledgements

This research was funded by Directorate Research and Community Services (Universitas Indonesia) under PITTA grant.

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Authors and Affiliations

  1. Computer Science Department, BINUS Graduate Program, Doctor of Computer Science, Universitas Bina Nusantara, Daerah Khusus Ibukota Jakarta, 11480, Jakarta, Indonesia

    Agung Trisetyarso

  2. Faculty of Economic and Business, Universitas Indonesia, Kampus Universitas Indonesia, Depok, Indonesia

    Fithra Faisal Hastiadi

Authors
  1. Agung Trisetyarso
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  2. Fithra Faisal Hastiadi
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Corresponding author

Correspondence to Agung Trisetyarso .

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Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Bina Nusantara University, Jakarta, Indonesia

    Ford Lumban Gaol

  3. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Trisetyarso, A., Hastiadi, F.F. (2019). Quantum Game-Based Recommender Systems for Disruptive Innovations. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_48

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  • DOI: https://doi.org/10.1007/978-3-030-14799-0_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14798-3

  • Online ISBN: 978-3-030-14799-0

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