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.
.- 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.
