1. 2018
  2. 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: Scientific - peer-reviewConference contribution

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

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

    Research output: Scientific - peer-reviewConference contribution

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

    Jin, Y., Tintarev, N. & Verbert, K. 2018 ACM Recommender Systems.

    Research output: Scientific - peer-reviewConference contribution

  5. 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: Scientific - peer-reviewConference contribution

  6. 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: ScientificChapter

  7. Generating Consensus Explanations for Group Recommendations

    Najafian, S. & Tintarev, N. 2018 UMAP Late breaking Results.

    Research output: Scientific - peer-reviewConference contribution

  8. Knowing the Unknown: Visualising Consumption Blind-Spots in Recommender System

    Tintarev, N., Rostami, S. & Smyth, B. 2018 (Accepted/In press) ACM Symposium On Applied Computing (SAC).

    Research output: Scientific - peer-reviewConference contribution

  9. Same, Same, but Different: Algorithmic Diversification of Viewpoints in News

    Tintarev, N., Sullivan, E., Guldin, D., Qiu, S. & Odjik, D. 2018 UMAP workshop on Fairness in User Modeling, Adaptation and Personalization, in association with UMAP'18.

    Research output: Scientific - peer-reviewConference contribution

  10. Summary of The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction

    al., F. E. & Tintarev, N. 2018 In : ACM SIGIR Forum.

    Research output: Scientific - peer-reviewArticle

  11. 2017
  12. Ephemeral Context to Support Robust and Diverse Recommendations

    Kucherbaev, P., Tintarev, N. & Rodriguez, C. 2017 Machine Learning for Music Discovery workshop at ICML'17.

    Research output: Scientific - peer-reviewConference contribution

Previous 1 2 Next

ID: 7574470