Accepted Papers:

Oral Presentations

• "A Holistic View of Sustainability in Multimodal Recommender Systems" – Angelo Geninatti Cossatin, Liliana Ardissono and Noemi Mauro
• "Sustainability Evaluation Metrics for Recommender Systems" – Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos and Thi Ngoc Trang Tran
• "Early Explorations of Recommender Systems for Physical Activity and Wellbeing" – Alan Said
• "Estimating Product Carbon Footprint via Large Language Models for Sustainable Recommender Systems" – Alessandro Vicenti, Cataldo Musto, Giuseppe Spillo, Allegra De Filippo, Michela Milano and Giovanni Semeraro
• "Biases of Algorithmic and Editorial Recommendations in Public Service Media" – Marcel Hauck and Franz Rothlauf
• "PureBiasoMeter: Decoupling Popularity Bias from User Fairness in LLM-Based Recommender Systems" – Shirin Tahmasebinotarki, Muhammad Hamad, Amir H. Payberah and Mihhail Matskin
• "E-Mealio: An LLM-Powered Conversational Agent for Sustainable and Healthy Food Recommendation" – Antonio Raffaele Iacovazzi, Lorenzo Blanco, Giuseppe Spillo and Cataldo Musto
• "Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations" – Haya Halimeh and Oliver Müller



Poster Presentations

• "LLM-Powered Recommendations: a Case Study in Renewable Energy Communities" – Bianca Maria Deconcini, Giulia Coucourde, Luca Console, Michele Visciola, Malek Anouti and Giorgio Gaudio
• "TRUST-MH: Transparent and Responsible User-level Semantic Tagging for Mental Health Assessment" – Sumit Dalal and Sarika Jain
• "LLM-based Healthiness? Analyzing the Nutritional Quality of an AI-Generated Recipe Dataset" – Ayoub El Majjodi, Jonas Bech Holtan, Alain D. Starke and Christoph Trattner
• "Diversified recommendations of cultural activities with personalized determinantal point processes" – Carole Ibrahim, Hiba Bederina, Daniel Cuesta, Laurent Montier, Cyrille Delabre and Jill-Jênn Vie
• "Mind the Gap: Urban-Rural Disparities in Wheelchair Accessibility for POI Recommendations" – Gregor Mayr, Markus Reiter-Haas and Elisabeth Lex
• "SERMuse: Speech Emotion Recognition based Music Recommendation" – Bhawna Singh and Niyati Baliyan