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Record Nr. |
UNINA9910993937703321 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (X, 162 p. 35 illus., 32 illus. in color.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2470 |
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Disciplina |
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Soggetti |
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Data protection - Law and legislation |
Artificial intelligence |
Privacy |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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: |
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promoting DivErsity in Recommendation Systems. -- Effects of Representation Nudges on the Perception of Playlist Recommendations. |
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Sommario/riassunto |
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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. |
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