Accepted Papers

• - Alejandro Plaza, Juan Gil and Denis Parra Santander - "14 Kg of CO2: Analyzing the Carbon Footprint and Performance of Session-Based Recommendation Algorithms"


• - Anas Buhayh, Elizabeth McKinnie and Robin Burke - "Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs"


• - Antonino Ferraro, Antonio Galli, Valerio La Gatta, Marco Postiglione, Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio and Vincenzo Moscato - "From Explanation to Exploration: promoting DivErsity in Recommendation Systems"


• - Antonio Purificato and Fabrizio Silvestri - "Eco-Aware Graph Neural Networks for Sustainable Recommendations"


• - Ardalan Arabzadeh, Tobias Vente and Joeran Beel - "Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance"


• - Ashmi Banerjee, Adithi Satish and Wolfgang Wörndl - "Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation"


• - Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Giacomo Medda and Giovanni Murgia - "Knowledge Data Modeling in Food Recommendation: A Case Study on Nutritional Values"


• - Giuseppe Spillo, Alberto Gaetano Valerio, Felice Franchini, Allegra De Filippo, Cataldo Musto, Michela Milano and Giovanni Semeraro - "RecSys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models"


• - Juno Prent and Masoud Mansoury - "Correcting for Popularity Bias in Recommender Systems via Item Loss Equalization"


• - Lukas Wegmeth, Tobias Vente, Alan Said and Joeran Beel - "EMERS: Energy Meter for Recommender Systems"


• - Moritz Baumgart, Lukas Wegmeth, Tobias Vente and Joeran Beel - "e-Fold Cross-Validation for Recommender-System Evaluation"


• - Pavel Merinov and Francesco Ricci - "Simulating the Impact of Recommendation Salience on Tourists Experienced Utility"


• - Sabrina Guidotti, Gregor Donabauer, Simone Somazzi, Udo Kruschwitz, Davide Taibi and Dimitri Ognibene - "Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach"


• - Shah Noor Khan, Eelco Herder and Diba Kaya - "Effects of Representation Nudges on the Perception of Playlist Recommendations"


• - Tahereh Arabghalizi and Alexandros Labrinidis - "Multi-stakeholder Recommender Systems with Volatile Items"


• - Uroš Sergaš, Marko Tkalcic and Bruce Ferwerda - "News Recommender System for Political Depolarization"


• - Veronika Bogina, Ilan Halachmi and Noam Koenigstein Koenigstein - "From Field to Algorithm: Challenges in Building Recommender Systems with Farmers for a Sustainable Future"