most citedRecommender Systems for Sustainability: Overview and Research Issues

58 citations · 128 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.IR202414 cited

Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems

Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig +3

Recommender systems play an important role in supporting the achievement of the United Nations sustainable development goals (SDGs). In recommender systems, explanations can suppor…

cs.SE202454 cited

Leveraging LLMs for the Quality Assurance of Software Requirements

Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran +4

Successful software projects depend on the quality of software requirements. Creating high-quality requirements is a crucial step toward successful software development. Effective…

cs.AI2023

Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver

Benjamin Ritz, Alexander Felfernig, Viet-Man Le +1

In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user. The concept of \emph{multi-configuration} is based on the…

cs.IR20232 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…