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.