58 citations · 146 across the 17 of their papers we have counts for
6 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.…
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…