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Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems

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Advanced Information Systems Engineering Workshops (CAiSE 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 423))

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Abstract

Business agility requires support from recommendation systems, but explaining recommendations may yield information disclosure. We analyze how to provide explanations in the scenario of Multi-Stakeholder Recommendation where the sensible information of one stakeholder should not be disclosed in the explanation to another stakeholder. Among the several types of explanations analyzed, counterfactual explanations come off best as they allow the system to preserve each stakeholder’s privacy and sensitive information in terms of preferences.

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Author information

Authors and Affiliations

  1. Politecnico di Bari, Via E. Orabona 4, 70125, Bari, Italy

    Giandomenico Cornacchia, Fedelucio Narducci & Claudio Pomo

  2. Università della Tuscia, Via S.M. in Gradi 4, 01100, Viterbo, Italy

    Francesco M. Donini

  3. EY, Via Oberdan 40, 70125, Bari, Italy

    Azzurra Ragone

Authors
  1. Giandomenico Cornacchia
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  2. Francesco M. Donini
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  3. Fedelucio Narducci
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  4. Claudio Pomo
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  5. Azzurra Ragone
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Corresponding author

Correspondence to Claudio Pomo .

Editor information

Editors and Affiliations

  1. The University of Melbourne, Carlton, VIC, Australia

    Artem Polyvyanyy

  2. Technical University of Munich, Garching, Germany

    Stefanie Rinderle-Ma

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Cornacchia, G., Donini, F.M., Narducci, F., Pomo, C., Ragone, A. (2021). Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems. In: Polyvyanyy, A., Rinderle-Ma, S. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2021. Lecture Notes in Business Information Processing, vol 423. Springer, Cham. https://doi.org/10.1007/978-3-030-79022-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-79022-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79021-9

  • Online ISBN: 978-3-030-79022-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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