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[null,null,"Titolo",null,"Recommender Systems for Sustainability and Social Good : First International Workshop, RecSoGood 2024, Bari, Italy, October 18, 2024, Proceedings / / edited by Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-87654-7"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 162 p. 35 illus., 32 illus. in color.)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 2470"]
[null,null,"Disciplina",null,"005.8"]
[{"$nulls":4},"323.448"]
[null,null,"Soggetti",null,"Data protection - Law and legislation"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Privacy"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Sustainable Development Goals; Energy and Carbon Efficiency; and conceptualizations of diversity..  -- Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs.  -- Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation.  -- Simulating the Impact of Recommendation Salience on Tourists Experienced Utility.  -- Knowledge Data Modeling in Food Recommendation: A Case Study on Nutritional Values.  -- Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach.  -- Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance.  -- EMERS: Energy Meter for Recommender Systems.  -- e-Fold Cross-Validation for Recommender-System Evaluation.  -- RecSys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models.  -- Eco-Aware Graph Neural Networks for Sustainable Recommendations.  -- 14 Kg of CO2: Analyzing the Carbon Footprint and Performance of Session-Based Recommendation Algorithms.  -- From Explanation to Exploration: promoting DivErsity in Recommendation Systems.  -- Effects of Representation Nudges on the Perception of Playlist Recommendations."]
[null,null,null,"Sommario/riassunto","This CCIS post conference volume constitutes the proceedings of the First International Workshop on Recommender Systems for Sustainability and Social Good, RecSoGood 2024, in Bari, Italy, in October 2024. The 8 full papers and 6 short papers included in this book were carefully reviewed and selected from 35 submissions. They cover all aspects of Recommender Systems for Sustainable Development Goals; Energy and Carbon Efficiency; and conceptualizations of diversity."]