03852nam 22006135 450 991111439650332120260102122654.03-032-13342-4978303213342710.1007/978-3-032-13342-7(CKB)44769983700041(MiAaPQ)EBC32470579(Au-PeEL)EBL32470579(DE-He213)978-3-032-13342-7(OCoLC)1572116933(EXLCZ)994476998370004120260102d2026 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRecommender Systems for Sustainability and Social Good Second International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, Proceedings /edited by Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Noemi Mauro, Francesca Maridina Malloci, Francesco Ricci1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (263 pages)Communications in Computer and Information Science,1865-0937 ;28023-032-13341-6 A Holistic View of Sustainability in Multimodal Recommender -- Sustainability Evaluation Metrics for Recommender Systems -- Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations -- Estimating Product Carbon Footprint via Large Language Models for Sustainable Recommender Systems -- TRUST-MH: Transparent and Responsible User-level Semantic Tagging for Mental Health Assessment -- SERMuse: Speech Emotion Recognition based Music Recommendation -- LLM-based Healthiness? Analyzing the Nutritional Quality of an AI-Generated Recipe Dataset -- Diversified Recommendations of Cultural Activities with Personalized Determinantal Point Processes -- LLM-Powered Recommendations: a Case Study in Renewable Energy Communities -- Mind the Gap: Urban-Rural Disparities in Wheelchair Accessibility for POI Recommendations -- Early Explorations of Recommender Systems for Physical Activity and Wellbeing -- E-Mealio: An LLM-Powered Conversational Agent for Sustainable and Healthy Food Recommendation -- Biases of Algorithmic and Editorial Recommendations in Public Service Media -- PureBiasoMeter: Decoupling Popularity Bias from User Fairness in LLM-Based Recommender Systems.This book constitutes the refereed proceedings of the Second International Workshop on Recommender Systems for Sustainability and Social Good, RecSoGood 2025, held in Prague, Czech Republic, on September 26, 2025. The 10 full papers and 4 short papers included in this volume were carefully reviewed and selected from 35 submissions. They cover theoretical, methodological, and applied perspectives, emphasizing both the environmental and social dimensions of recommendation technology.Communications in Computer and Information Science,1865-0937 ;2802Data protectionLaw and legislationArtificial intelligencePrivacyArtificial IntelligenceData protectionLaw and legislation.Artificial intelligence.Privacy.Artificial Intelligence.005.8323.448Boratto Ludovico1373698De Filippo Allegra1945212Lex Elisabeth1784913Mauro Noemi1945213Malloci Francesca Maridina1784919Ricci Francesco228128MiAaPQMiAaPQMiAaPQBOOK9911114396503321Recommender Systems for Sustainability and Social Good4699912UNINA