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[logseq-plugin-git:commit] 2025-06-09T16:02:52.816Z

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Davide Di Ruscio
2025-06-09 18:02:57 +02:00
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pages/RecSys_2025_Reproducibility_711.md
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collapsed:: true
type:: [[REVIEWS]]
tags::
year:: 2025
@@ -6,12 +7,11 @@ full-title:: Investigating Carbon Footprint of Recommender Systems Beyond Train
date-start:: [[09-06-2025]] - 16:29
date-submitted::
external-links::
status:: [[DOING]]
status:: [[DONE]]
deadline-submission::
file:: [[@RecSys_2025_Reproducibility_711]]
parent::
todoist:: https://app.todoist.com/app/task/711-investigating-carbon-footprint-of-recommender-systems-beyond-training-time-a-6c7x6q6cJ5hjvX26
collapsed:: true
- ### [[Comments]]
- Overall Presentation: Overall, the paper is well written and structured. Both the goal and the proposed solution are clearly described. I have only a few concerns related to missing justifications or explanations. In particular, I am not convinced by the rationale for using a mobile setup, nor why such a configuration was chosen to compare the original environment with the one presented in this work.