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.

  • Joey De Pauw
    Exploratory Methods for Evaluating Recommender Systems
  • Jacob Munson
    Developing Work in Confidence, Similarity Structure, and Modeling User Event Time
  • Iulia Paun
    Efficiency-Effectiveness Trade-offs in Recommendation Systems
  • Bartolomé Ortiz Viso
    Evolutionary Approach in Recommendation Systems for Complex Structured Objects
  • Pablo Pérez-Núñez
    Taking Advantage of Images and Texts in Recommender Systems: Semantics and Explainability
  • Luchiana Cezara Brodeala
    Online Recommender System for Accessible Tourism Destinations
  • Elizabeth Gómez
    Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems
  • Andrea Iovine
    Conversational Agents for Recommender Systems
Doctoral Symposium Chairs

The Doctoral Symposium will take place as a synchronous videoconferencing event via Zoom.

  • 14:0016:00 Session 1
  • 16:0017:00 Break
  • 17:0019:00 Session 2
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