1. 2018
  2. Explanations for Groups

    Felfernig, A., Tintarev, N., Tran, T. N. T. & Stettinger, . M. 2018 Explanations for Groups. Springer

    Research output: ScientificChapter

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

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

    Research output: Scientific - peer-reviewConference contribution

  4. 2017
  5. 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

  6. Memorability of Semantically Grouped Online Reviews

    Ye, M., Lofi, C. & Tintarev, N. 2017 SEMANTiCS.

    Research output: Scientific - peer-reviewConference contribution

  7. Presenting Challenging Recommendations: Making Diverse News Acceptable

    Tintarev, N. 2017 FATREC Workshop on Responsible Recommendation at Recsys'17.

    Research output: Scientific - peer-reviewConference contribution

  8. Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics

    Lofi, C. & Tintarev, N. 2017 Complex-Rec workshop at Recsys'17.

    Research output: Scientific - peer-reviewConference contribution

  9. 2015
  10. Recommender Systems Handbook (second ed.)

    Tintarev, N. 2015 Explaining Recommendations: Design and Evaluation. p. 353-382 30 p.

    Research output: Scientific - peer-reviewChapter

ID: 7574470