58 citations · 150 across the 15 of their papers we have counts for
8 papers · 1 filter
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,…
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…
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…
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…
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.…
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…
Designing Explanations for Group Recommender Systems
A. Felfernig, N. Tintarev, T. N. T. Trang +1
Explanations are used in recommender systems for various reasons. Users have to be supported in making (high-quality) decisions more quickly. Developers of recommender systems want…
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration
Alexander Felfernig, Viet-Man Le, Andrei Popescu +3
Recommender systems support decisions in various domains ranging from simple items such as books and movies to more complex items such as financial services, telecommunication equi…