activity
20242026
most citedRecommender Systems for Sustainability: Overview and Research Issues

58 citations · 114 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2026★ 1 cited

Usability Analysis of Configurator User Interfaces with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber +11

Configuration is a key technology for tailoring complex software systems, services, and products. A successful application of configurators not only depends on technical correctnes…

cs.SE2026

Recommending Usability Improvements with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber +2

Usability describes quality attributes of application user interfaces that determine how effectively users can interact with them. Traditional usability evaluation methods require…

cs.SE2026

Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis

Viet-Man Le, Thi Ngoc Trang Tran, Sebastian Lubos +2

We study whether Large Language Models (LLMs) can perform feature model analysis operations (AOs) directly on semi-formal textual blueprints, i.e., concise constrained-language des…

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.SE2025★ 1 cited

Investigating Multimodal Large Language Models to Support Usability Evaluation

Sebastian Lubos, Alexander Felfernig, Damian Garber +3

Usability evaluation is an essential method to support the design of effective and intuitive user interfaces (UIs). However, it commonly relies on resource-intensive, expert-driven…

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.SE2024★ 54 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…