First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024)

In the rapidly evolving landscape of technology and sustainability, leveraging Recommender Systems has emerged as a powerful tool for driving positive change. With a foundation in AI and data analytics, Recommender Systems can be effective in various domains, from e-commerce to energy management and well-being. By harnessing the power of recommendation algorithms under a holistic perspective, organizations and researchers can guide users towards more sustainable choices and behaviors, contributing to broader environmental and social goals. With this aim, our workshop provides a unique opportunity for researchers, practitioners, and stakeholders to explore the integration of sustainability principles into Recommender Systems. Through presentations, discussions, and panels, participants explore the theoretical foundations, practical implementations, and ethical and environmental issues of sustainable Recommender Systems. By fostering collaboration and knowledge exchange, the workshop aims to catalyze innovation and inspire collective action towards a more sustainable future.

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Publication Details

Published
2024-10-08
DOI
https://doi.org/10.1145/3640457.3687099
Citations
5
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
3.90
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article

First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024)

Ludovico Boratto, Elisabeth Lex, Allegra De Filippo, Francesco Ricci⋆
5 citations
Recommender Systems and Techniques
3.90
article

First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024)

Ludovico Boratto, Elisabeth Lex, Allegra De Filippo, Francesco Ricci⋆
article en
5 citations

Abstract

In the rapidly evolving landscape of technology and sustainability, leveraging Recommender Systems has emerged as a powerful tool for driving positive change. With a foundation in AI and data analytics, Recommender Systems can be effective in various domains, from e-commerce to energy management and well-being. By harnessing the power of recommendation algorithms under a holistic perspective, organizations and researchers can guide users towards more sustainable choices and behaviors, contributing to broader environmental and social goals. With this aim, our workshop provides a unique opportunity for researchers, practitioners, and stakeholders to explore the integration of sustainability principles into Recommender Systems. Through presentations, discussions, and panels, participants explore the theoretical foundations, practical implementations, and ethical and environmental issues of sustainable Recommender Systems. By fostering collaboration and knowledge exchange, the workshop aims to catalyze innovation and inspire collective action towards a more sustainable future.

Free University of Bozen-Bolzano (IT), University of Cagliari (IT), Graz University of Technology (AT), University of Bologna (IT)
Openalex Percentile: Top 6%
Recommender Systems and Techniques
3.90
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