1. 2018
  2. 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

  3. 2017
  4. 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

  5. Memorability of Semantically Grouped Online Reviews

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

    Research output: Scientific - peer-reviewConference contribution

  6. Presenting Challenging Recommendations: Making Diverse News Acceptable

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

    Research output: Scientific - peer-reviewConference contribution

  7. Sequences of Diverse Song Recommendations: An exploratory study in a commercial system

    Tintarev, N., Lofi, C. & Liem, C. C. S. 2017 User Modeling, Adaptation, and Personalization.

    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