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20232026
most citedRecommender Systems for Sustainability: Overview and Research Issues

58 citations · 117 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.IR2025

Towards LLM-Enhanced Product Line Scoping

Alexander Felfernig, Damian Garber, Viet-Man Le +2

The idea of product line scoping is to identify the set of features and configurations that a product line should include, i.e., offer for configuration purposes. In this context,…

cs.IR2025

Sustainability Evaluation Metrics for Recommender Systems

Alexander Felfernig, Damian Garber, Viet-Man Le +2

Sustainability-oriented evaluation metrics can help to assess the quality of recommender systems beyond wide-spread metrics such as accuracy, precision, recall, and satisfaction. F…

cs.IR2025

Towards LLM-Enhanced Group Recommender Systems

Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran +5

In contrast to single-user recommender systems, group recommender systems are designed to generate and explain recommendations for groups. This group-oriented setting introduces ad…

cs.IR2024★ 58 cited

Recommender Systems for Sustainability: Overview and Research Issues

Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran +5

Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosp…

cs.IR2023★ 1 cited

Sports Recommender Systems: Overview and Research Issues

Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran +3

Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and increasing performances in sport.…

cs.IR2023★ 2 cited

Concentrating on the Impact: Consequence-based Explanations in Recommender Systems

Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz +4

Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experien…