From clicks to carbon: The environmental toll of recommender systems

T Vente, L Wegmeth, A Said, J Beel - … of the 18th ACM Conference on …, 2024 - dl.acm.org
As global warming soars, the need to assess the environmental impact of research is
becoming increasingly urgent. Despite this, few recommender systems research papers …

Introducing lenskit-auto, an experimental automated recommender system (autorecsys) toolkit

T Vente, M Ekstrand, J Beel - Proceedings of the 17th ACM Conference …, 2023 - dl.acm.org
LensKit is one of the first and most popular Recommender System libraries. While LensKit
offers a wide variety of features, it does not include any optimization strategies or guidelines …

Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets

L Wegmeth, T Vente, J Beel - Proceedings of the 18th ACM Conference …, 2024 - dl.acm.org
The recommender systems algorithm selection problem for ranking prediction on implicit
feedback datasets is under-explored. Traditional approaches in recommender systems …

Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021

E Zangerle, C Bauer, A Said - ACM SIGIR Forum, 2022 - dl.acm.org
Evaluation is a central step when it comes to develo**, optimizing, and deploying
recommender systems. The PERSPECTIVES 2021 workshop at the 15th ACM Conference …