Doctoral Symposium

The ACM Recommender Systems 2017 Doctoral Symposium provides an opportunity for doctoral students to explore and develop their research interests under the guidance of a panel of distinguished researchers from both academia and industry.

  • Raoua Abdelkhalek (Universite de Tunis)
    Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework
  • Andrea Barraza-Urbina (National University of Ireland, Galway)
    The Exploration-Exploitation Trade-off in Interactive Recommender Systems
  • Paolo Dragone (University of Trento)
    Constructive Recommendation
  • Rodrigo Zenun Franco (University of Reading)
    Online recommender system for personalized nutrition advice
  • Peter Gaspar (Slovak University of Technology)
    User Preferences Analysis using Visual Stimuli
  • Daniel Herzog (Technical University of Munich)
    Recommending A Sequence of Points of Interest to a Group of Users in a Mobile Context
  • Shatha Jaradat (Royal Institute of Technology)
    Deep Cross-Domain Fashion Recommendation
  • Francisco J. Peña (University College Cork)
    Unsupervised Context-Driven Recommendations Based On User Unsupervised Context-Driven Recommendations Based On User Reviews
  • Özge Sürer (Northwestern University)
    Improving Similarity Measures using Ontological Data

Friday, Aug 25, 2017


The doctoral symposium will be operated in conjunction with the 2017 ACM Summer School on Recommender Systems held at the Free University of Bozen-Bolzano, Bozen-Bolzano, Italy.

Diamond Supporter
Platinum Supporters
Gold Supporter
Silver Supporter
Special Supporters