most citedRecommender Systems for Sustainability: Overview and Research Issues

58 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Towards LLM-Based Usability Analysis for Recommender User Interfaces

Sebastian Lubos, Alexander Felfernig, Damian Garber +2

Usability is a key factor in the effectiveness of recommender systems. However, the analysis of user interfaces is a time-consuming process that requires expertise. Recent advances…

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.IR202458 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…