Workshop Program

The INRA 2025 Workshop will be held as part of the ACM Recommender Systems Conference (RecSys 2025) on 26 September 2025. This will be a half-day workshop bringing together researchers and practitioners to explore the latest advancements in the field.

Presentation Instructions:
  • Long papers: 15 minutes (12 + 3 Q&A) presentation + poster.
  • Short, demo, idea papers: 2 minutes flash presentation (no QA) + poster.
  • Slides should be sent to inra2025@idi.ntnu.no by Thursday, September 25th, 20:00 (as we will use our own laptop for presentations).
  • Posters: A0, portrait format (as per RecSys instructions).

    • Schedule:
    08:30 - 08:45 Opening
    08:45 - 10:00 Oral Presentations
    1 More of the Same? A Longitudinal Evaluation of Two Similarity-based Approaches in a News Recommender System     Slides Presentation slide
    - Gloria Anne Babile Kasangu, Alain D. Starke, Christoph Trattner
    2 News, With a Twist: Using Contrastive Learning to Improve User Embeddings for Diverse News Recommendations     Slides Presentation slide
    - Zijie Tang, Manel Slokom
    3 Leveraging Media Frames to Improve Normative Diversity in News Recommendations     Slides Presentation slide
    - Sourabh Dattawad, Agnese Daffara, Tanise Ceron slides
    4 Using Large Language Models to ‘Lighten the Mood’: Satirically Reframing News Recommendations to Reduce News Avoidance
    - Tobias Jovall Wessel, Christoph Trattner, Alain D. Starke
    5 Hope, Fear, or Anger? How Emotional Framing in a News Recommender System Guides User Preferences     Slides Presentation slide
    - Jørgen Eknes-Riple, Jia-Hua Jeng, Alain D. Starke, Khadiga Seddik, Christoph Trattner
    10:00 - 10:15 Flash Presentations
    1 Segment-Aware Analytics for Real-Time Editorial Support in Media Groups
    - Martin Spišák, Rodrigo Alves, Thomas Kelleher, Jason Sheppard, Ondřej Fiedler, Ergys Kosovrasti, Vojtěch Vančura, Petr Kasalický, Pavel Kordík
    2 News Recommendation with Category Description by a Large Language Model
    - Yuki Yada, Hayato Yaman
    3 Clickbait mitigation in industrial recommender system
    - Václav Blahut, Karel Koupil, Michal Chudoba, Radek Tomšů
    4 Evaluating Image Trust Labels in a News Recommender System
    - Svenja Lys Forstner, Yelyzaveta Lysova, Alain Starke, Christoph Trattner
    5 Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit     Slides Presentation slide
    - Markus Reiter-Haas, Elisabeth Lex
    10:15 - 11:00 Poster Session & Coffee Break
    11:00 - 11:45 Invited Talk
    Public Service Media Recommender Systems – Engagement, Public Value, and Efficiency in the Wild.
    - Dr. Marcel Hauck (ARD Online & Mainz University of Applied Sciences)
    11:45 - 12:30 Interactive session & Closing