Cited by 35Recommender Systems and TechniquesEthics and Social Impacts of AIInformation Retrieval and Search Behavior

Algorithmic and Ethical Aspects of Recommender Systems in e-Commerce

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Paraschakis, Dimitris·2018

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Finally, I want to thank our industry

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  • Information for algorithmic profiling is typically obtained directly from a person's interactions with a system or indirectly inferred from algorithmically assembled groups of individuals.

    “This information is typically obtained directly, from when a person interacts with a given system, or indirectly, inferred from algorithmically assembled groups of individuals (Paraschakis 2018).”

    From The ethics of algorithms: key problems and solutions (2022) · cites this paper as Paraschakis 2018

  • Algorithmic profiling takes place over an indefinite period of time, in which individuals are categorised according to a system's internal logic, and their profiles are updated as new information is obtained about them.

    “Algorithmic profiling takes place over an indefinite period of time, in which individuals are categorised according to a system's internal logic, and their profiles are updated as new information is obtained about them.”

    From The ethics of algorithms: key problems and solutions (2022) · cites this paper as Paraschakis 2018

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Authors
Paraschakis, D.
Corresponding author
Paraschakis, Dimitris
Published
2018-01-01
OpenAlex
W2785291028
Cited by
35
References
191
Citations by year
2025: 1 · 2024: 1 · 2023: 24 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 1
Type
dissertation
Language
en
Open access
Locations
  • KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
  • Malmö University Publications (Malmö University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
Keywords
recommender systems, e-commerce, algorithmic ethics, recommendation algorithms

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