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Faglig foredrag
  • Vis forfatter(e) (2023). Undesired Effects and Popularity Bias In Recommendation.
  • Vis forfatter(e) (2023). Recommender Systems: Benefits and Pitfalls of Personalization.
  • Vis forfatter(e) (2023). Recommender Systems: Benefits and Pitfalls of Personalization.
  • Vis forfatter(e) (2023). Recommender Systems, Natural Language Processing and Digital Humanities.
  • Vis forfatter(e) (2023). Recommender Systems Beyond Accuracy: Biases and Unfairness in Personalization.
  • Vis forfatter(e) (2023). Recommender Systems Beyond Accuracy: Biases and Unfairness in Personalization.
  • Vis forfatter(e) (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models.
  • Vis forfatter(e) (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.
Vitenskapelig foredrag
  • Vis forfatter(e) (2022). Popularity Bias as Ethical and Technical Issue in Recommendation: A Survey.
Vitenskapelig antologi/Konferanseserie
  • Vis forfatter(e) (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. Association for Computing Machinery (ACM).
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vis forfatter(e) (2023). Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. 6 sider.
  • Vis forfatter(e) (2022). Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. 9 sider.
Poster
  • Vis forfatter(e) (2023). Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models.
  • Vis forfatter(e) (2021). Exploring Recommender Systems: Towards Fair and Ethical Recommendation.
Vitenskapelig oversiktsartikkel/review
  • Vis forfatter(e) (2022). Popularity Bias as Ethical and Technical Issue in Recommendation: A Survey. Norsk Informatikkonferanse (NIK).

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