Sebastian Lubos

Publications

2026

Automated Testing and Debugging of Configuration Knowledge Bases With Direct Diagnosis

Alexander Felfernig, Viet-Man Le, Damian Garber, Sebastian Lubos, Thi Ngoc Trang Tran

Journal of Intelligent Information Systems (JIIS), 2026 [DOI]

Detecting Usability Issues in Recommender Systems with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran

13th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), 2026 [PDF]

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

Viet-Man Le, Thi Ngoc Trang Tran, Sebastian Lubos, Alexander Felfernig, Damian Garber

ACM/SIGAPP Symposium On Applied Computing (SAC), 2026 [DOI]

Enabling Automated Usability Evaluation for Configurator User Interfaces

Sebastian Lubos, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Doris Suppan, Reinhard Willfort, Ivan Dukic, Jeremias Fuchs, Manuel Henrich

28th International Workshop on Configuration (ConfWS), 2026 [PDF]

Exploring Persuasive Explanations to Motivate the Adoption of SOLID Principles

Ingo Pribik, Sebastian Lubos, Alexander Felfernig

Computer-Human Interaction Research and Applications (CHIRA), 2026 [DOI]

Investigating Multimodal Large Language Models to Support Usability Evaluation

Sebastian Lubos, Alexander Felfernig, Damian Garber, Gerhard Leitner, Julian Schwazer, Manuel Henrich

International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2026 [DOI]

LLM-Powered Compiler Autotuning

Damian Garber, Alexander Felfernig, Viet-Man Le, Sebastian Lubos

39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2026 [DOI]

Machine Learning for Constraint-based Configuration: A Survey

Christian Bähnisch, Alexander Felfernig, Damian Garber, Albert Haag, Denis Helic, Lothar Hotz, Viet-Man Le, Sebastian Lubos

Journal of Artificial Intelligence Research (JAIR), 2026 [DOI]

Recommending Usability Improvements with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich

ACM International Conference on the Foundations of Software Engineering (FSE), 2026 [DOI]

Saving Energy with Compiler Autotuning

Damian Garber, Alexander Felfernig, Viet-Man Le, Sebastian Lubos

39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2026 [DOI]

Sustainability-Aware Evaluation Metrics for Recommender Systems

Alexander Felfernig, Damian Garber, Denis Helic, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran

Journal of Intelligent Information Systems (JIIS), 2026 [DOI]

Usability Analysis of Configurator User Interfaces with Multimodal Large Language Models

Best Paper Award

Sebastian Lubos, Alexander Felfernig, Damian Garber, Adnan Kraljić, Tarik Kraljić, Viet-Man Le, Thi Ngoc Trang Tran, Gerhard Leitner, Julian Schwazer, Doris Suppan, Reinhard Willfort, Ivan Dukic, Jeremias Fuchs, Manuel Henrich

International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY), 2026 [DOI]

When Do Contrastive Explanations Really Matter in Recommender Systems?

Thi Ngoc Trang Tran, Sebastian Lubos, Alexander Felfernig, Mehrdad Rostami, Viet-Man Le, Damian Garber

20th ACM Conference on Recommender Systems (RecSys), 2026 [DOI]

2025

Assessing LLMs for Prioritization in Meeting-Based Group Recommendations

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le

IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), 2025 [DOI]

Causality-based Explanations for Feature Model Configuration

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos

19th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS), 2025 [DOI]

Enhanced Optimization Space Learning: Towards Real-Time Compiler Optimization

Damian Garber, Sebastian Lubos, Viet-Man Le, Alexander Felfernig

International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2025 [DOI]

Evaluating Large Language Models for the Automated Generation of Software Requirements

Thomas Puchleitner, Sebastian Lubos, Alexander Felfernig, Damian Garber

International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2025 [DOI]

InteractiveReq: Enhancing Software Requirement Specification with Critiquing-based Recommender Systems

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich, Reinhard Willfort, Ivan Dukic

33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2025 [DOI]

Leveraging LLMs to Explain the Consequences of Recommendations

Sebastian Lubos, Michael Gartner, Alexander Felfernig, Reinhard Willfort

33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2025 [DOI]

QuickXPlain Explanations for Feature Model Configuration

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos

27th International Workshop on Configuration (ConfWS), 2025 [PDF]

Sustainability Evaluation Metrics for Configuration Systems

Alexander Felfernig, Damian Garber, Sebastian Lubos, Thi Ngoc Trang Tran

27th International Workshop on Configuration (ConfWS), 2025 [PDF]

Sustainability Evaluation Metrics for Recommender Systems

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran

Recommender Systems for Sustainability and Social Good (RecSoGood), 2025 [DOI]

Test-driven Generation of Constraint Satisfaction Problems Using Large Language Models

Christian Bähnisch, Lothar Hotz, Alexander Felfernig, Sebastian Lubos

27th International Workshop on Configuration (ConfWS), 2025 [PDF]

Towards Compiler Parameter Recommendation Using Code Embeddings

Damian Garber, Sebastian Lubos, Alexander Felfernig

27th International Workshop on Configuration (ConfWS), 2025 [PDF]

Towards Group Decision Support with LLM-based Meeting Analysis

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs

33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2025 [DOI]

Towards LLM-Based Usability Analysis for Recommender User Interfaces

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Thi Ngoc Trang Tran

12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), 2025 [PDF]

Towards LLM-enhanced Compiler Optimization

Damian Garber, Tamim Burgstaller, Sebastian Lubos, Patrick Ratschiller, Alexander Felfernig

27th International Workshop on Configuration (ConfWS), 2025 [PDF]

Towards LLM-Enhanced Group Recommender Systems

Sebastian Lubos, Thi Ngoc Trang Tran, Viet-Man Le, Damian Garber, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs

12th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), 2025 [PDF]

Towards LLM-Enhanced Product Line Scoping

Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran

27th International Workshop on Configuration (ConfWS), 2025 [PDF]

2024

DaLimeLlama: A Persuasive XAI Framework For Learning-to-Rank Product Recommenders

Sebastian Lubos, Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Ilhan Adıyaman, Ata Gür, Tevfik Ince

Workshop on Responsible Generative AI for Recommender Systems (RoeGen@RecSys), 2024 [PDF]

Evaluating Performance and Trends in Interactive Video Retrieval: Insights from the 12th VBS Competition

Lucia Vadicamo, Rahel Arnold, Werner Bailer, Fabio Carrara, Cathal Gurrin, Nico Hezel, Xinghan Li, Jakub Lokoc, Sebastian Lubos, Zhixin Ma

IEEE Access, 2024 [DOI]

Exploiting Large Language Models for the Automated Generation of Constraint Satisfaction Problems

Best Paper Award

Lothar Hotz, Christian Bähnisch, Sebastian Lubos, Alexander Felfernig, Albert Haag, Johannes Twiefel

26th International Workshop on Configuration (ConfWS), 2024 [PDF]

Improving Recommender Systems with Large Language Models

Sebastian Lubos

32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2024 [DOI]

Integrating the Mechanisms of Critiquing-based Recommendation into Constraint Solving

Pavle Knežević, Alexander Felfernig, Sebastian Lubos

11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), 2024 [PDF]

Knowledge-based recommender systems: overview and research directions

M Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller

Frontiers in Big Data, 2024 [DOI]

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

Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, Viet-Man Le

18th ACM Conference on Recommender Systems (RecSys), 2024 [DOI]

Leveraging LLMs for the Quality Assurance of Software Requirements

Sebastian Lubos, Alexander Felfernig, Thi Ngoc Trang Tran, Damian Garber, Merfat El Mansi, Seda Polat Erdeniz, Viet-Man Le

IEEE 32nd International Requirements Engineering Conference (RE), 2024 [DOI]

LLM-generated Explanations for Recommender Systems

Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Viet-Man Le

32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2024 [DOI]

Responsible Configuration Using LLM-based Sustainability-Aware Explanations

Sebastian Lubos, Alexander Felfernig, Lothar Hotz, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Viet-Man Le, Damian Garber, Merfat El Mansi

26th International Workshop on Configuration (ConfWS), 2024 [PDF]

Sports recommender systems: overview and research directions

Alexander Felfernig, Michael Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz

Journal of Intelligent Information Systems (JIIS), 2024 [DOI]

2023

An overview of video recommender systems: state-of-the-art and research issues

Sebastian Lubos, Alexander Felfernig, Markus Tautschnig

Frontiers in Big Data, 2023 [DOI]

Analysis Operations for Constraint-based Recommender Systems

Sebastian Lubos, Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran

17th ACM Conference on Recommender Systems (RecSys), 2023 [DOI]

Analysis Operations On The Run: Feature Model Analysis in Constraint-based Recommender Systems

Sebastian Lubos, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, David Benavides, José A. Galindo, Damian Garber

27th ACM International Systems and Software Product Line Conference (SPLC), 2023 [DOI]

Collaborative Recommendation of Search Heuristics For Constraint Solvers

Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz

25th International Workshop on Configuration (ConfWS), 2023 [PDF]

Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare

Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos

International Conference on Artificial Intelligence in Medicine (AIME), 2023 [DOI]

Concentrating on the Impact: Consequence-based Explanations in Recommender Systems

Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner

10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), 2023 [DOI]

Conjunctive Query Based Constraint Solving for Feature Model Configuration

Alexander Felfernig, Viet-Man Le, Sebastian Lubos

12th Conference on Information Technology and Its Applications (CITA), 2023 [PDF]

Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support

Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 [DOI]

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics

Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Thi Ngoc Trang Tran, Tamim Burgstaller, Sebastian Lubos

International Conference on Personalized Medicine and Digital Health (dHealth), 2023 [DOI]

Perfect Match in Video Retrieval

Sebastian Lubos, Massimiliano Rubino, Christian Tautschnig, Markus Tautschnig, Boda Wen, Klaus Schoeffmann, Alexander Felfernig

International Conference on Multimedia Modeling (MMM), 2023 [DOI]

Recommender systems for sustainability: overview and research issues

Alexander Felfernig, Michael Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Viet-Man Le

Frontiers in Big Data, 2023 [DOI]

Solving Constraint Satisfaction Problems with Database Queries: An Overview

Alexander Felfernig, Viet-Man Le, Albert Haag, Sebastian Lubos

25th International Workshop on Configuration (ConfWS), 2023 [PDF]

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

Benjamin Ritz, Alexander Felfernig, Viet-Man Le, Sebastian Lubos

25th International Workshop on Configuration (ConfWS 2023), 2023 [PDF]

Specifying Configurable Videos with Feature Models

Sebastian Lubos, Markus Tautschnig, Alexander Felfernig, Viet-Man Le

25th International Workshop on Configuration (ConfWS), 2023 [PDF]

2022

Knowledge-based configuration of videos using feature models

Sebastian Lubos, Markus Tautschnig, Alexander Felfernig, Viet-Man Le

26th ACM International Systems and Software Product Line Conference (SPLC), 2022 [DOI]