Paper-Conference

EMERS: Energy Meter for Recommender Systems
Due to recent advancements in machine learning, recommender systems use increasingly more energy for training, evaluation, and …
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
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EMERS: Energy Meter for Recommender Systems
Recommender Systems for Social Good: The Role of Accountability and Sustainability
This work examines the role of recommender systems in promoting sustainability, social responsibility, and accountability, with a focus …
Alan Said
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Recommender Systems for Social Good: The Role of Accountability and Sustainability
Understanding Fairness Metrics in Recommender Systems: A Healthcare Perspective
Fairness in AI-driven decision-making systems has become a critical concern, especially when these systems directly affect human lives. …
Veronica Kecki, Alan Said
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Understanding Fairness Metrics in Recommender Systems: A Healthcare Perspective
From Clicks to Carbon: The Environmental Toll of Recommender Systems
As global warming soars, evaluating the environmental impact of research is more critical now than ever before. However, we find that …
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
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From Clicks to Carbon: The Environmental Toll of Recommender Systems
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
The adoption of recommender systems (RSs) in various domains has become increasingly popular, but concerns have been raised about their …
Itallo Silva, Leandro Balby Marinho, Alan Said, Martijn Willemsen
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Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
Trust Through Recommendation in E-commerce
We explore the influence of recommender systems on trust among consumers in the fashion e-commerce domain. Anchoring on the Trust …
Maria Saxborn, Yuechen Pan, Alan Said
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Trust Through Recommendation in E-commerce
Leveraging Large Language Models for Goal-driven Interactive Recommendations
We present a proof of concept application for interactive recommendations and explanations leveraging the capabilities of Large …
Alan Said, Martijn C. Willemsen, Leandro Balby Marinho, Itallo Silva
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Leveraging Large Language Models for Goal-driven Interactive Recommendations
Leveraging Large Language Models for Recommendation and Explanation
We demonstrate a proof of concept web application that recommends movies and generates explanations for the recommendations using Large …
Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn Willemsen
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Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …
Alan Said, Eva Zangerle, Christine Bauer
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Social Drones for Health and Well-being
Drone activities in our daily lives are on the rise, so is the need to advance research on how to design drones that can interact with …
Mohammad Obaid, Kıvanç Tatar, Mikael Wiberg, Alan Said, Mattias Rost, Alexandra Weilenmann, Wafa Johal, Friederike Eyssel
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