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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| 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
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (X, 162 p. 35 illus., 32 illus. in color.) |
| Disciplina: | 005.8 |
| 323.448 | |
| Soggetto topico: | Data protection - Law and legislation |
| Artificial intelligence | |
| Privacy | |
| Artificial Intelligence | |
| Persona (resp. second.): | BorattoLudovico |
| De FilippoAllegra | |
| LexElisabeth | |
| RicciFrancesco | |
| Nota di contenuto: | -- 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. |
| 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. |
| Titolo autorizzato: | Recommender Systems for Sustainability and Social Good |
| ISBN: | 3-031-87654-7 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910993937703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Communications in Computer and Information Science, . 1865-0937 ; ; 2470