Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint-Reference-Cited by-同舟云学术

Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Spillo Giuseppe¹^ORCID,De Filippo Allegra²^ORCID,Musto Cataldo³^ORCID,Milano Michela²^ORCID,Semeraro Giovanni⁴^ORCID

Affiliation:

1. Computer Science, University of Bari, Italy

2. University of Bologna, Italy

3. Department of Computer Science, Dipartimento di Informatica - University of Bari, Italy

4. University of Bari, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608840

Reference42 articles.

1. Total CO2-equivalent life-cycle emissions from commercially available passenger cars

2. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

3. HADA: An automated tool for hardware dimensioning of AI applications

4. Allegra De Filippo , Michele Lombardi , and Michela Milano . 2021 . The blind men and the elephant: Integrated offline/online optimization under uncertainty . In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 4840–4846 . Allegra De Filippo, Michele Lombardi, and Michela Milano. 2021. The blind men and the elephant: Integrated offline/online optimization under uncertainty. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 4840–4846.

5. Integrated Offline and Online Decision Making under Uncertainty

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