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.

  • Daricia Wilkinson (Clemson University)
    Testing a Recommender System for Self-Actualization
  • Manel Slokom (Delft University of Technology)
    Comparing Recommender Systems using Synthetic Data
  • Zhe Li (Delft University of Technology)
    Towards the Next Generation of Multi-Criteria Recommender Systems
  • Giorgia Di Tommaso (Sapienza University of Rome)
    SeRenA: A Semantic Recommender for All
  • Kittipitch Kuptavanich (University of Aberdeen)
    Using Textual Summaries to Describe a Set of Products
  • Qing Ping (Drexel University)
    Video Recommendation Using Crowdsourced Time-Sync Comments
  • Lijie Guo (Clemson University)
    Beyond the Top-N: Algorithms that Generate Recommendations
  • Gabriel de Souza Pereira Moreira (Brazilian Aeronautics Institute of Technology)
    Chameleon – A Deep Learning Meta-Architecture Recommender for News Systems
  • Robin Burke, DePaul University, USA
  • Paolo Cremonesi, Politecnico di Milano, Italy
  • Mehdi Elahi, Free University of Bozen-Bolzano, Italy
  • Joe Konstan, University of Minnesota, USA
  • Dietmar Jannach, AAU Klagenfurt, Austria
  • Nava Tintarev, TU Delft, Netherlands
  • Marko Tkalčič, Free University of Bozen-Bolzano, Italy
Doctoral Symposium Chairs

Sunday, Oct 7, 2018, 08:15-18:00


Burrard Room

Diamond Supporter
Platinum Supporters
Gold Supporters
Silver Supporters
Special Supporter