Doctoral Symposium

The Doctoral Symposium provides an opportunity for doctoral students working in recommender systems research to receive critical feedback about their work and to further develop their research agenda under the guidance of distinguished and established researchers in recommender systems. Each doctoral student will be paired with two mentors who will provide feedback and guide the discussion of the student’s work during the Symposium. The small group setting of the symposium will also allow for an open discussion of issues and challenges related to the work presented by students.

  • Andres Ferraro (Universitat Pompeu Fabra, Barcelona, Spain)
    Music Cold-start and Long-tail Recommendation: Evaluation of Bias in Deep Model Representations
  • Miroslav Rac (Slovak University of Technology, Bratislava, Slovakia)
    User’s Activity Driven Short-term Context Inference
  • Olivier Jeunen (University of Antwerp, Belgium)
    Revisiting Offline Evaluation for Implicit-Feedback Recommender Systems
  • Pablo Sánchez (Universidad Autónoma de Madrid, Spain)
    Exploiting Contextual Information for Recommender Systems Oriented to Tourism
  • Yayu Zhou (Northwestern University, Evanston, Illinois, USA)
    Recommender Systems for Contextually-Aware, Versioned Items
  • Yu Liang (Jheronimus Academy of Data Science, ’s-Hertogenbosch, the Netherlands)
    Recommender System for Developing New Preferences and Goals
Mentors *
  • Massimo Quadrana, Pandora, Italy
  • Marko Tkalcic, Free University of Bozen-Bolzano, Italy
  • Julia Neidhardt, TU Wien, Austria
  • Tommaso di Noia, Politecnico di Bari, Italy
  • Michael Ekstrand, Boise State University, USA
  • Cynthia Liem, TU Delft, The Netherlands

* subject to changes

Doctoral Symposium Chairs

Sunday, Sept 15, 2019, 12:00-17:30


Scandic Falkoner (Room 106)

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