Alexander Felfernig

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 152

Top Venues

CoRR

ConfWS

RecSys

J. Intell. Inf. Syst.

Publications

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Mathias Uta
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems. AAAI (2024)
Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Viet-Man Le
LLM-generated Explanations for Recommender Systems. UMAP (Adjunct Publication) (2024)
Ludovico Boratto, Alexander Felfernig, Martin Stettinger, Marko Tkalcic
Preface on the special issue on group recommender systems. User Model. User Adapt. Interact. 34 (3) (2024)
Sebastian Lubos, Alexander Felfernig, Markus Tautschnig
An overview of video recommender systems: state-of-the-art and research issues. Frontiers Big Data 6 (2024)
Tamim Burgstaller, Damian Garber, Viet-Man Le, Alexander Felfernig
Optimization Space Learning: A Lightweight, Noniterative Technique for Compiler Autotuning. SPLC (A) (2024)
Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le
An overview of consensus models for group decision-making and group recommender systems. User Model. User Adapt. Interact. 34 (3) (2024)
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le
Recommender systems for sustainability: overview and research issues. Frontiers Big Data 6 (2024)
Seda Polat Erdeniz, Ilhan Adiyaman, Tevfik Ince, Ata Gür, Alexander Felfernig
ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data. ISMIS (2024)
Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller
Knowledge-based recommender systems: overview and research directions. Frontiers Big Data 7 (2024)
Benjamin Ritz, Alexander Felfernig, Viet-Man Le, Sebastian Lubos
Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver. ConfWS (2023)
Alexander Felfernig, Viet-Man Le, Sebastian Lubos
Conjunctive Query Based Constraint Solving For Feature Model Configuration. CoRR (2023)
Damian Garber, Tamim Burgstaller, Alexander Felfernig, Viet-Man Le, Sebastian Lubos, Trang Tran, Seda Polat Erdeniz
Collaborative Recommendation of Search Heuristics For Constraint Solvers. ConfWS (2023)
Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le, Thi Minh Ngoc Chau, Thu Giang Mai
User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics. UMAP (2023)
Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics. dHealth (2023)
Alexander Felfernig, Viet-Man Le, Albert Haag, Sebastian Lubos
Solving Constraint Satisfaction Problems with Database Queries: An Overview. ConfWS (2023)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). RecSys (2023)
Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, José A. Galindo, Thi Ngoc Trang Tran
FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis. AAAI (2023)
Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. CoRR (2023)
Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Viet-Man Le, Sebastian Lubos, Seda Polat Erdeniz
Sports Recommender Systems: Overview and Research Issues. CoRR (2023)
Sebastian Lubos, Alexander Felfernig, Viet-Man Le
Specifying Configurable Videos with Feature Models. ConfWS (2023)
Sebastian Lubos, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, David Benavides, José A. Zamudio, Damian Garber
Analysis Operations On The Run: Feature Model Analysis in Constraint-based Recommender Systems. SPLC (A) (2023)
Sebastian Lubos, Massimiliano Rubino, Christian Tautschnig, Markus Tautschnig, Boda Wen, Klaus Schoeffmann, Alexander Felfernig
Perfect Match in Video Retrieval. MMM (1) (2023)
Viet-Man Le, Thi Ngoc Trang Tran, Alexander Felfernig
FMTESTING: A FEATUREIDE Plug-in for Automated Feature Model Analysis and Diagnosis. ECAI (2023)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME (2023)
Benjamin Ritz, Alexander Felfernig, Viet-Man Le, Sebastian Lubos
Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver. CoRR (2023)
Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. BIBM (2023)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. SIGIR Forum 57 (2) (2023)
Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig, David Benavides, José A. Galindo, Thi Ngoc Trang Tran
FastDiagP: An Algorithm for Parallelized Direct Diagnosis. CoRR (2023)
Sebastian Lubos, Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran
Analysis Operations for Constraint-based Recommender Systems. RecSys (2023)
Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems. IntRS@RecSys (2023)
Andreas Hofbauer, Alexander Felfernig
Game-based Configuration Task Learning with ConGuess: An Initial Empirical Analysis. ConfWS (2023)
Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas
Applying matrix factorization to consistency-based direct diagnosis. Appl. Intell. 52 (6) (2022)
Toine Bogers, Cataldo Musto, David Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng
FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys (2022)
Andreas Hofbauer, Alexander Felfernig
ConGuess: a learning environment for configuration tasks. SPLC (B) (2022)
Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran
Test case aggregation for efficient feature model testing. SPLC (B) (2022)
Oliver A. Tazl, Christopher Tafeit, Franz Wotawa, Alexander Felfernig
DDMin versus QuickXplain - An Experimental Comparison of two Algorithms for Minimizing Collections. SEKE (2022)
Alexander Felfernig, Bettina Ortner, Viet-Man Le
Table-based knowledge representations for industrial feature models. SPLC (B) (2022)
Mathias Uta, Alexander Felfernig, Denis Helic, Viet-Man Le
Accuracy- and consistency-aware recommendation of configurations. SPLC (A) (2022)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). RecSys (2022)
Viet-Man Le, Thi Ngoc Trang Tran, Alexander Felfernig
Consistency-based integration of multi-stakeholder recommender systems with feature model configuration. SPLC (B) (2022)
Viet-Man Le, Alexander Felfernig, Mathias Uta, Thi Ngoc Trang Tran, Cristian Vidal Silva
WipeOutR: automated redundancy detection for feature models. SPLC (A) (2022)
Andrei Popescu, Seda Polat Erdeniz, Alexander Felfernig, Mathias Uta, Müslüm Atas, Viet-Man Le, Klaus Pilsl, Martin Enzelsberger, Thi Ngoc Trang Tran
An overview of machine learning techniques in constraint solving. J. Intell. Inf. Syst. 58 (1) (2022)
Sebastian Lubos, Markus Tautschnig, Alexander Felfernig, Viet-Man Le
Knowledge-based configuration of videos using feature models. SPLC (B) (2022)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. ISMIS (2022)
Besnik Gjergjizi, Thi Ngoc Trang Tran, Alexander Felfernig
The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis. IntRS@RecSys (2022)
Mathias Uta, Alexander Felfernig, Viet Man Le, Andrei Popescu, Thi Ngoc Trang Tran, Denis Helic
Evaluating recommender systems in feature model configuration. SPLC (A) (2021)
Thi Ngoc Trang Tran, Alexander Felfernig, Nava Tintarev
Humanized Recommender Systems: State-of-the-art and Research Issues. ACM Trans. Interact. Intell. Syst. 11 (2) (2021)
Alexander Felfernig, Monika Schubert, Christoph Zehentner
An Efficient Diagnosis Algorithm for Inconsistent Constraint Sets. CoRR (2021)
Viet-Man Le, Thi Ngoc Trang Tran, Martin Stettinger, Lisa Weißl, Alexander Felfernig, Müslüm Atas, Seda Polat Erdeniz, Andrei Popescu
Counteracting Exam Cheating by Leveraging Configuration and Recommendation Techniques. ConfWS (2021)
Thi Ngoc Trang Tran, Carmen Isabella Baumann, Alexander Felfernig, Viet Man Le
The Immunity of Users' Item Selection from Serial Position Effects in Multi-Attribute Item Recommendation Scenarios. IntRS@RecSys (2021)
Mathias Uta, Alexander Felfernig, Denis Helic
Constraint-Aware Recommendation of Complex Items (Long paper). KaRS/ComplexRec@RecSys (2021)
Alexander Felfernig
AI Techniques for Software Requirements Prioritization. CoRR (2021)
Massimo Vecchio, Paolo Azzoni, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig
A Fully Open-Source Approach to Intelligent Edge Computing: AGILE's Lesson. Sensors 21 (4) (2021)
Alexander Felfernig, Viet Man Le, Andrei Popescu, Mathias Uta, Thi Ngoc Trang Tran, Müslüm Atas
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration. VaMoS (2021)
Alexander Felfernig, Christoph Zehentner, Paul Blazek
CoreDiag: Eliminating Redundancy in Constraint Sets. CoRR (2021)
Viet Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Müslüm Atas, Mathias Uta, David Benavides, José A. Galindo
DirectDebug: A software package for the automated testing and debugging of feature models. Softw. Impacts 9 (2021)
Müslüm Atas, Alexander Felfernig, Seda Polat Erdeniz, Andrei Popescu, Thi Ngoc Trang Tran, Mathias Uta
Towards psychology-aware preference construction in recommender systems: Overview and research issues. J. Intell. Inf. Syst. 57 (3) (2021)
Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl
Psychology-informed Recommender Systems. Found. Trends Inf. Retr. 15 (2) (2021)
Viet Man Le, Alexander Felfernig, Mathias Uta, David Benavides, José A. Galindo, Thi Ngoc Trang Tran
DIRECTDEBUG: Automated Testing and Debugging of Feature Models. ICSE (NIER) (2021)
Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Florian Reinfrank, Michael Jeran, Gerald Ninaus
Recommender Systems for Configuration Knowledge Engineering. CoRR (2021)
Alexander Felfernig, Nava Tintarev, Thi Ngoc Trang Tran, Martin Stettinger
Designing Explanations for Group Recommender Systems. CoRR (2021)
Alexander Felfernig, Viet Man Le, Andrei Popescu, Mathias Uta, Thi Ngoc Trang Tran, Müslüm Atas
An Overview of Recommender Systems and Machine Learning in Feature Modeling and Configuration. CoRR (2021)
Mathias Uta, Alexander Felfernig, Gottfried Schenner, Johannes Spöcklberger
Consistency-based Merging of Variability Models. CoRR (2021)
Robert Tieber, Alexander Felfernig
A Knowledge-based Configurator for Building Magic: The Gathering Card Decks. ConfWS (2021)
Ralph Samer, Martin Stettinger, Alexander Felfernig, Müslüm Atas, Robert Zupan, Manuel Henrich
Predicting Answers in Preference Elicitation Dialogs. ConfWS (2021)
Viet Man Le, Alexander Felfernig, Mathias Uta, David Benavides, José A. Galindo, Thi Ngoc Trang Tran
DirectDebug: Automated Testing and Debugging of Feature Models. CoRR (2021)
Martin Stettinger, Trang Tran, Ingo Pribik, Gerhard Leitner, Alexander Felfernig, Ralph Samer, Muesluem Atas, Manfred Wundara
KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting. CoRR (2021)
Alexander Felfernig, Martin Stettinger, Müslüm Atas, Ralph Samer, Jennifer Nerlich, Simon Scholz, Juha Tiihonen, Mikko Raatikainen
Towards Utility-based Prioritization of Requirements in Open Source Environments. CoRR (2021)
Cristian Vidal, Alexander Felfernig, José A. Galindo, Müslüm Atas, David Benavides
Explanations for over-constrained problems using QuickXPlain with speculative executions. J. Intell. Inf. Syst. 57 (3) (2021)
Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran
Configuring Multiple Instances with Multi-Configuration. CoRR (2021)
Alexander Felfernig, Rouven Walter, José A. Galindo, David Benavides, Seda Polat Erdeniz, Muesluem Atas, Stefan Reiterer
Anytime Diagnosis for Reconfiguration. CoRR (2021)
Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran
Configuring Multiple Instances with Multi-Configuration. ConfWS (2021)
Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Michael Jeran
An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment. CoRR (2021)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). RecSys (2021)
Thi Ngoc Trang Tran, Viet Man Le, Muesluem Atas, Alexander Felfernig, Martin Stettinger, Andrei Popescu
Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain. RecSys (2021)
Thi Ngoc Trang Tran, Alexander Felfernig, Christoph Trattner, Andreas Holzinger
Recommender systems in the healthcare domain: state-of-the-art and research issues. J. Intell. Inf. Syst. 57 (1) (2021)
Ralph Samer, Martin Stettinger, Alexander Felfernig
Group Recommender User Interfaces for Improving Requirements Prioritization. UMAP (2020)
Cristian Vidal Silva, Alexander Felfernig, José A. Galindo, Müslüm Atas, David Benavides
A Parallelized Variant of Junker's QuickXPlain Algorithm. ISMIS (2020)
Viet Man Le, Thi Ngoc Trang Tran, Alexander Felfernig
A Conversion of Feature Models into an Executable Representation in Microsoft Excel. ISMIS (Industrial Paper) (2020)
Sonia Cisneros-Cabrera, Nikolay Mehandjiev, Alexander Felfernig, Pedro Sampaio, Sophia Kununka
A Laddering Approach to Explore the Motivations of Taking Computer Advice for Supply Networks Formation. PACIS (2020)
Martin Stettinger, Trang Tran, Ingo Pribik, Gerhard Leitner, Alexander Felfernig, Ralph Samer, Müslüm Atas, Manfred Wundara
KNOWLEDGECHECKR: Intelligent Techniques for Counteracting Forgetting. ECAI (2020)
Ralph Samer, Martin Stettinger, Alexander Felfernig, Xavier Franch, Andreas A. Falkner
Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. ECAI (2020)
Alexander Felfernig, Juha Tiihonen
Knowledge-based Configuration. J. Univers. Comput. Sci. 26 (3) (2020)
Mathias Uta, Alexander Felfernig
ConMerge - Arbitration of Constraint-Based Knowledge Bases. IEA/AIE (2020)
Seda Polat Erdeniz, Andreas Menychtas, Ilias Maglogiannis, Alexander Felfernig, Thi Ngoc Trang Tran
Recommender systems for IoT enabled quantified-self applications. Evol. Syst. 11 (2) (2020)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
Interfaces and Human Decision Making for Recommender Systems. RecSys (2020)
Seda Polat Erdeniz, Alexander Felfernig, Ralph Samer, Muesluem Atas
Matrix factorization based heuristics for constraint-based recommenders. SAC (2019)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
RecSys '19 joint workshop on interfaces and human decision making for recommender systems. RecSys (2019)
Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le, Müslüm Atas, Martin Stettinger, Ralph Samer
User Interfaces for Counteracting Decision Manipulation in Group Recommender Systems. UMAP (Adjunct Publication) (2019)
Walid Maalej, Alexander Felfernig
Socio-Technical Design and Value Orientation. GI-Jahrestagung (2019)
Martin Stettinger, Alexander Felfernig, Ralph Samer
Decision Biases in Preference Acquisition. ConfWS (2019)
Ralph Samer, Alexander Felfernig, Martin Stettinger
Towards Issue Recommendation for Open Source Communities. WI (2019)
Muesluem Atas, Ralph Samer, Alexander Felfernig, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Martin Stettinger
Socially-Aware Diagnosis for Constraint-Based Recommendation. UMAP (2019)
Muesluem Atas, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Ralph Samer, Martin Stettinger
Towards Similarity-Aware Constraint-Based Recommendation. IEA/AIE (2019)
Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas
Learned Constraint Ordering for Consistency Based Direct Diagnosis. IEA/AIE (2019)
Ralph Samer, Martin Stettinger, Müslüm Atas, Alexander Felfernig, Guenther Ruhe, Gouri Deshpande
New Approaches to the Identification of Dependencies between Requirements. ICTAI (2019)
Thi Ngoc Trang Tran, Müslüm Atas, Alexander Felfernig, Viet Man Le, Ralph Samer, Martin Stettinger
Towards Social Choice-based Explanations in Group Recommender Systems. UMAP (2019)
Alexander Felfernig, Mathias Uta, Gottfried Schenner, Johannes Spöcklberger
Consistency-based Merging of Variability Models. ConfWS (2019)
Alexander Felfernig, Seda Polat Erdeniz, Christoph Uran, Stefan Reiterer, Muesluem Atas, Thi Ngoc Trang Tran, Paolo Azzoni, Csaba Király, Koustabh Dolui
An overview of recommender systems in the internet of things. J. Intell. Inf. Syst. 52 (2) (2019)
Ralph Samer, Müslüm Atas, Alexander Felfernig, Martin Stettinger, Andreas A. Falkner, Gottfried Schenner
Group Decision Support for Requirements Management Processes. ConfWS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Felfernig