1. 2019
  2. 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.

    Research output: Contribution to journalArticleScientificpeer-review

  3. ContextPlay: User Control for Context-Aware Music Recommendation

    Jin, Y., Htun, N. N., Tintarev, N. & Verbert, K., 2019, ACM Conference on User Modeling and Adaptation and Personalization (UMAP).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  4. Does reviewer recommendation help developers?

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

    Research output: Contribution to journalArticleScientificpeer-review

  5. 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/Report/Conference proceedingConference contributionScientificpeer-review

  6. 2018
  7. A Diversity Adjusting Strategy with Personality for Music Recommendation

    Lu, F. & Tintarev, N., 2018, Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. Brusilovsky, P., de Gemmis, M., Felfernig, A., Lops, P., O'Donovan, J., Semeraro, G. & Willemsen, M. C. (eds.). CEUR, p. 7-14 8 p. (CEUR Workshop Proceedings; vol. 2225).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  8. Digitally Scaffolding Debate in the Classroom.

    Holzer, A., Tintarev, N., Bendahan, S., Greenup, S. & Gillet, D., 2018, Proceedings of the 2018 CHI Conference Extended Abstracts on Human Factors in Computing Systems..

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Effects of Individual Traits on Diversity-aware Music Recommender User Interfaces

    Jin, Y., Tintarev, N. & Verbert, K., 2018, UMAP.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. Effects of Personal Characteristics on Music Recommender Systems with Different Levels of Controllability

    Jin, Y., Tintarev, N. & Verbert, K., 2018, RecSys '18 : Proceedings of the 12th ACM Conference on Recommender Systems. New York, NY: Association for Computer Machinery, p. 13-21 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. Explaining Credibility in News Articles using Cross-Referencing

    Bountouridis, D., Marrero Llinares, M., Tintarev, N. & Hauff, C., 2018, SIGIR workshop on ExplainAble Recommendation and Search (EARS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  12. Explanations for Groups

    Felfernig, A., Tintarev, N., Tran, T. N. T. & Stettinger, M., 2018, Group Recommender Systems. Cham: Springer, p. 105-126 22 p. (SpringerBriefs in Electrical and Computer Engineering).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Previous 1 2 3 Next

ID: 7574470