Del 2470 - Communications in Computer and Information Science

Recommender Systems for Sustainability and Social Good

First International Workshop, RecSoGood 2024, Bari, Italy, October 18, 2024, Proceedings

Häftad, Engelska, 2025

Av Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci, Allegra de Filippo

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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.

Produktinformation

Utgivningsdatum2025-04-09
Mått155 x 235 x 10 mm
Vikt271 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor162
FörlagSpringer International Publishing AG
ISBN9783031876530

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Artificiell intelligens inom Data och it
IT-säkerhet inom Data och it

.- 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.