World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
11638
World Ranking
5556
National Ranking
40

Overview

Alexander Felfernig is affiliated with the Graz University of Technology in Austria. Their academic focus lies primarily in the field of Computer Science, with a substantial concentration on Artificial Intelligence, Information Systems, and related subfields.

The scientist's research spans several specific topics within the computer science domain. Notable areas of study include:

  • Recommender Systems and Techniques
  • Advanced Software Engineering Methodologies
  • AI-based Problem Solving and Planning
  • Constraint Satisfaction and Optimization
  • Semantic Web and Ontologies
  • Model-Driven Software Engineering Techniques
  • Data Management and Algorithms

Felfernig has contributed to journals and conferences across several venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of Intelligent Information Systems
  • Frontiers in Big Data
  • User Modeling and User-Adapted Interaction
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their recent papers cover topics related to recommender systems, consensus models, sustainability, and machine learning techniques in constraint solving. Selected publications include:

  • "Recommender systems in the healthcare domain: state-of-the-art and research issues" (2020) in Journal of Intelligent Information Systems
  • "Psychology-informed Recommender Systems" (2021) in Foundations and Trends® in Information Retrieval
  • "An overview of consensus models for group decision-making and group recommender systems" (2023) in User Modeling and User-Adapted Interaction
  • "Recommender systems for sustainability: overview and research issues" (2023) in Frontiers in Big Data
  • "An overview of machine learning techniques in constraint solving" (2021) in Journal of Intelligent Information Systems

Frequent collaborators in this research body include Thi Ngoc Trang Tran, Viet-Man Le, Martin Stettinger, Sebastian Lubos, and Müslüm Atas.

Beyond articles, Alexander Felfernig has been involved in book publications through distinct scientific publishers. These include:

  • Foundations of Intelligent Systems (2020) published by Springer Science+Business Media
  • Feature Models (2024) published by Springer Nature

Best Publications

  • Recommender Systems: An Introduction

    Dietmar Jannach;Markus Zanker;Alexander Felfernig;Gerhard Friedrich

  • Recommender Systems: RECENT DEVELOPMENTS

    Dietmar Jannach;Markus Zanker;Alexander Felfernig;Gerhard Friedrich

  • Consistency-based diagnosis of configuration knowledge bases

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Stumptner

  • Constraint-based recommender systems: technologies and research issues

    A. Felfernig;R. Burke

  • Conceptual modeling for configuration of mass-customizable products

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach

  • Recommender systems in the healthcare domain: state-of-the-art and research issues

    Thi Ngoc Trang Tran;Alexander Felfernig;Christoph Trattner;Andreas Holzinger

  • An Integrated Environment for the Development of Knowledge-Based Recommender Applications

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Zanker

  • Knowledge-Based Configuration: From Research to Business Cases

    Alexander Felfernig;Lothar Hotz;Claire Bagley;Juha Tiihonen

  • Recommender Systems: An Overview

    Robin D. Burke;Alexander Felfernig;Mehmet H. Göker

  • UML AS DOMAIN SPECIFIC LANGUAGE FOR THE CONSTRUCTION OF KNOWLEDGE-BASED CONFIGURATION SYSTEMS

    Alexander Felfernig;Gerhard E. Friedrich;Dietmar Jannach

  • An efficient diagnosis algorithm for inconsistent constraint sets

    A. Felfernig;M. Schubert;C. Zehentner

  • An overview of recommender systems in the healthy food domain

    Thi Ngoc Trang Tran;Müslüm Atas;Alexander Felfernig;Martin Stettinger

  • A framework for the development of personalized, distributed web-based configuration systems

    Liliana Ardissono;Alexander Felfernig;Gerhard Friedrich;Anna Goy

  • Human Decision Making and Recommender Systems

    Li Chen;Marco de Gemmis;Alexander Felfernig;Pasquale Lops

  • Guest Editors' Introduction: Recommender Systems

    Alexander Felfernig;Gerhard Friedrich;Lars Schmidt-Thieme

  • Recommender systems for health informatics: state-of-the-art and future perspectives

    André Calero Valdez;André Calero Valdez;Martina Ziefle;Katrien Verbert;Alexander Felfernig

  • Developing Constraint-based Recommenders

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Zanker

  • The VITA financial services sales support environment

    A. Felfernig;K. Isak;K. Szabo;P. Zachar

  • An introduction to personalization and mass customization

    Juha Tiihonen;Alexander Felfernig

  • Human decision making and recommender systems

    Anthony Jameson;MC Martijn Willemsen;Alexander Felfernig;Marco de Gemmis

  • Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys

    Lawrence D. Bergman;Alexander Tuzhilin;Robin Burke;Alexander Felfernig

  • UML as Domain Specific Language for the construction of Knowledge-Based Configuration Systems

    A. Felfernig;G. Friedrich;D. Jannach;Dietmar Jannach

  • Recommender Systems: Introduction

    Dietmar Jannach;Markus Zanker;Alexander Felfernig;Gerhard Friedrich

Frequent Co-Authors

Dietmar Jannach
Dietmar Jannach University of Klagenfurt
Gerhard Friedrich
Gerhard Friedrich University of Klagenfurt
Markus Zanker
Markus Zanker Free University of Bozen-Bolzano
Pasquale Lops
Pasquale Lops University of Bari Aldo Moro
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh
Li Chen
Li Chen Hong Kong Baptist University
Marco de Gemmis
Marco de Gemmis University of Bari Aldo Moro
David Benavides
David Benavides University of Seville
Walid Maalej
Walid Maalej Universität Hamburg

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