1. 2020
  2. Someone really wanted that song but it was not me! Evaluating Which Information to Disclose in Explanations for Group Recommendations

    Najafian, S., Inel, O. & Tintarev, N., 2020, Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion (pp. 85-86). New York: Association for Computing Machinery (ACM), p. 85-86 2 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  3. You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.

    Najafian, S., Herzog, D., Qui, S., Inel, O. & Tintarev, N., 2020, Hypertext.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  4. 2019
  5. UMAP 2019 workshop on explainable and holistic user modeling (Exhum) chairs' welcome

    Musto, C., Hopfgartner, F., Lops, P., Rapp, A., Kay, J., Semeraro, G., Cena, F., Lawlor, A. & Tintarev, N., 6 Jun 2019, ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. p. 225-226 2 p. (ACM UMAP 2019 Adjunct - Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  6. A methodology for creating and validating psychological stories for conveying and measuring psychological traits

    Smith, K. A., Dennis, M., Masthoff, J. & Tintarev, N., 2019, In : User Modeling and User-Adapted Interaction: the journal of personalization research. 29, 3, p. 573-618 46 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. ContextPlay: Evaluating User Control for Context-Aware Music Recommendation

    Jin, Y., Htun, N. N., Tintarev, N. & Verbert, K., 2019, UMAP'19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: Association for Computing Machinery (ACM), p. 294-302 9 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  8. Does reviewer recommendation help developers?

    Kovalenko, V., Tintarev, N., Pasynkov, E., Bird, C. & Bacchelli, A., 2019, In : IEEE Transactions on Software Engineering. p. 1-23 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Effects of personal characteristics in control-oriented user interfaces for music recommender systems

    Jin, Y., Tintarev, N., Htun, N. N. & Verbert, K., 2019, In : User Modeling and User-Adapted Interaction. 51 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)

    Ferro, N., Fuhr, N., Grefenstette, G., Kuflik, T., Lindén, K., Magnini, B., Nie, J-Y., Perego, R., Tintarev, N. & More Authors, 2019, In : Dagstuhl Manifestos. 7, 1, p. 96-139 44 p.

    Research output: Contribution to journalArticleScientific

  11. Reading news with a purpose: Explaining user profiles for self-actualization

    Sullivan, E., Bountouridis, D., Harambam, J. J., Najafian, S., Loecherbach, F., Makhortykh, M., Kelen, D., Wilkinson, D., Graus, D. & Tintarev, N., 2019, UMAP'19 Adjunct : Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. New York: Association for Computing Machinery (ACM), p. 241-245 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  12. SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

    Bountouridis, D., Harambam, J., Makhortykh, M., Marrero, M., Tintarev, N. & Hauff, C., 2019, FAT* 2019 : Proceedings of the 2019 Conference on Fairness, Accountability, and Transparency. New York, NY: Association for Computing Machinery (ACM), p. 150-159 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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