LEADER 03788nam 22005895 450 001 9911049155803321 005 20260102122654.0 010 $a3-032-13342-4 024 7 $a10.1007/978-3-032-13342-7 035 $a(CKB)44769983700041 035 $a(MiAaPQ)EBC32470579 035 $a(Au-PeEL)EBL32470579 035 $a(DE-He213)978-3-032-13342-7 035 $a(EXLCZ)9944769983700041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecommender Systems for Sustainability and Social Good $eSecond International Workshop, RecSoGood 2025, Prague, Czech Republic, September 26, 2025, Proceedings /$fedited by Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Noemi Mauro, Francesca Maridina Malloci, Francesco Ricci 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (263 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2802 311 08$a3-032-13341-6 327 $aA 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. 330 $aThis book constitutes the refereed proceedings of the Second International Workshop on Recommender Systems for Sustainability and Social Good, RecSoGood 2025, held in Prague, Czech Republic, on September 26, 2025. The 10 full papers and 4 short papers included in this volume were carefully reviewed and selected from 35 submissions. They cover theoretical, methodological, and applied perspectives, emphasizing both the environmental and social dimensions of recommendation technology. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2802 606 $aData protection$xLaw and legislation 606 $aArtificial intelligence 606 $aPrivacy 606 $aArtificial Intelligence 615 0$aData protection$xLaw and legislation. 615 0$aArtificial intelligence. 615 14$aPrivacy. 615 24$aArtificial Intelligence. 676 $a005.8 676 $a323.448 700 $aBoratto$b Ludovico$01373698 701 $aDe Filippo$b Allegra$01885206 701 $aLex$b Elisabeth$01784913 701 $aMauro$b Noemi$01885207 701 $aMalloci$b Francesca Maridina$01784919 701 $aRicci$b Francesco$0228128 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049155803321 996 $aRecommender Systems for Sustainability and Social Good$94520376 997 $aUNINA