Recommender Systems for Sustainability and Social Good

.- 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.