World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
19728
World Ranking
2073
National Ranking
13

Overview

Dietmar Jannach is a researcher affiliated with the University of Klagenfurt in Austria. Their primary field of study is Computer Science, with significant contributions across various subfields including Information Systems, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Software.

The main topics of their research work encompass:

  • Recommender Systems and Techniques
  • Advanced Bandit Algorithms Research
  • Topic Modeling
  • Software Engineering Research
  • Consumer Market Behavior and Pricing
  • Spreadsheets and End-User Computing
  • Data Stream Mining Techniques

Their recent papers showcase a focus on recommendation systems and responsible AI, featuring the following publications:

  • "Multistakeholder recommendation: Survey and research directions," 2020, published in User Modeling and User-Adapted Interaction
  • "Fairness in recommender systems: research landscape and future directions," 2023, published in User Modeling and User-Adapted Interaction
  • "Empirical analysis of session-based recommendation algorithms," 2020, published in User Modeling and User-Adapted Interaction
  • "Responsible media technology and AI: challenges and research directions," 2021, published in AI and Ethics
  • "Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research," 2020, published in AI Magazine

Dietmar Jannach frequently collaborates with several co-authors, including Franz Wotawa, Birgit Hofer, Adil Mukhtar, Christoph Trattner, and Markus Zanker. These collaborations underline a broad network within their research community.

Their work is often published in venues such as:

  • arXiv (Cornell University)
  • User Modeling and User-Adapted Interaction
  • Zenodo (CERN European Organization for Nuclear Research)
  • AI Magazine
  • ACM Transactions on Recommender Systems

Best Publications

  • Recommender Systems: An Introduction

    Dietmar Jannach;Markus Zanker;Alexander Felfernig;Gerhard Friedrich

  • Beyond accuracy: evaluating recommender systems by coverage and serendipity

    Mouzhi Ge;Carla Delgado-Battenfeld;Dietmar Jannach

  • Recommender Systems: RECENT DEVELOPMENTS

    Dietmar Jannach;Markus Zanker;Alexander Felfernig;Gerhard Friedrich

  • Are we really making much progress? A worrying analysis of recent neural recommendation approaches

    Maurizio Ferrari Dacrema;Paolo Cremonesi;Dietmar Jannach

  • Sequence-Aware Recommender Systems

    Massimo Quadrana;Paolo Cremonesi;Dietmar Jannach

  • When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation

    Dietmar Jannach;Malte Ludewig

  • A Survey on Conversational Recommender Systems

    Dietmar Jannach;Ahtsham Manzoor;Wanling Cai;Li Chen

  • Consistency-based diagnosis of configuration knowledge bases

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Stumptner

  • A systematic review and taxonomy of explanations in decision support and recommender systems

    Ingrid Nunes;Ingrid Nunes;Dietmar Jannach

  • How should I explain? A comparison of different explanation types for recommender systems

    Fatih Gedikli;Dietmar Jannach;Mouzhi Ge

  • Measuring the Business Value of Recommender Systems

    Dietmar Jannach;Michael Jugovac

  • Evaluation of session-based recommendation algorithms

    Malte Ludewig;Dietmar Jannach

  • A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

    Maurizio Ferrari Dacrema;Simone Boglio;Paolo Cremonesi;Dietmar Jannach

  • News recommender systems – Survey and roads ahead

    Mozhgan Karimi;Dietmar Jannach;Michael Jugovac

  • Automated Generation of Music Playlists: Survey and Experiments

    Geoffray Bonnin;Dietmar Jannach

  • Multistakeholder recommendation: Survey and research directions

    Himan Abdollahpouri;Gediminas Adomavicius;Robin Burke;Ido Guy

  • Digital nudging with recommender systems: Survey and future directions

    Mathias Jesse;Dietmar Jannach

  • What recommenders recommend: an analysis of recommendation biases and possible countermeasures

    Dietmar Jannach;Lukas Lerche;Iman Kamehkhosh;Michael Jugovac

  • Conceptual modeling for configuration of mass-customizable products

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach

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

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Zanker

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

    Alexander Felfernig;Gerhard E. Friedrich;Dietmar Jannach

  • Recommendation quality, transparency, and website quality for trust-building in recommendation agents

    Mehrbakhsh Nilashi;Dietmar Jannach;Othman bin Ibrahim;Mohammad Dalvi Esfahani

  • Recommender systems — beyond matrix completion

    Dietmar Jannach;Paul Resnick;Alexander Tuzhilin;Markus Zanker

  • 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

Alexander Felfernig
Alexander Felfernig Graz University of Technology
Gerhard Friedrich
Gerhard Friedrich University of Klagenfurt
Markus Zanker
Markus Zanker Free University of Bozen-Bolzano
Paolo Cremonesi
Paolo Cremonesi Polytechnic University of Milan
Bamshad Mobasher
Bamshad Mobasher DePaul University
Hermann Hellwagner
Hermann Hellwagner University of Klagenfurt
Gediminas Adomavicius
Gediminas Adomavicius University of Minnesota
Christian Timmerer
Christian Timmerer University of Klagenfurt
Alfred Kobsa
Alfred Kobsa University of California, Irvine
Robin Burke
Robin Burke University of Colorado Boulder

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