Alan Said
Alan Said
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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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preprint
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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DOI
preprint
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
Cite
DOI
preprint
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
Cite
Poster
ACM
DOI
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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DOI
URL
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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DOI
URL
Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …
Eva Zangerle
,
Christine Bauer
,
Alan Said
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DOI
URL
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together …
Eva Zangerle
,
Christine Bauer
,
Alan Said
Cite
DOI
URL
Prediction Accuracy and Autonomy
The tech industry has been criticised for designing applications that undermine individuals’ autonomy. Recommender systems, in …
Anton Angwald
,
Kalle Areskoug
,
Alan Said
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DOI
URL
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