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Computer Science

D-Index
38
Citations
9378
World Ranking
10011
National Ranking
303

Overview

Markus Zanker is affiliated with the University of Klagenfurt in Austria. Their research primarily focuses on the field of Computer Science, with numerous contributions spanning various subfields.

The scientist's subfields of study include:

  • Artificial Intelligence
  • Information Systems
  • Management Science and Operations Research
  • Plant Science
  • Sociology and Political Science

Their main research topics cover:

  • Recommender Systems and Techniques
  • Data Stream Mining Techniques
  • Advanced Bandit Algorithms Research
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Digital Marketing and Social Media
  • Explainable Artificial Intelligence (XAI)

Among the recent publications associated with Markus Zanker are the following papers:

  • e-Tourism beyond COVID-19: a call for transformative research, 2020, Information Technology & Tourism
  • Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm, 2021, Entropy
  • Recommender systems: Past, present, future, 2021, AI Magazine
  • Session-based news recommendations using SimRank on multi-modal graphs, 2021, Expert Systems with Applications
  • RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems, 2022, IEEE Computational Intelligence Magazine

Markus Zanker has frequently published in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Recommender Systems
  • AI Magazine
  • Expert Systems with Applications
  • User Modeling and User-Adapted Interaction

Frequent coauthors collaborating with Markus Zanker include:

  • Fabio Stella
  • Gabriele Sottocornola
  • Panagiotis Symeonidis
  • Dietmar Jannach
  • Emanuele Cavenaghi

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

  • e-Tourism beyond COVID-19: a call for transformative research

    Ulrike Gretzel;Matthias Fuchs;Rodolfo Baggio;Wolfram Hoepken

  • Linked open data to support content-based recommender systems

    Tommaso Di Noia;Roberto Mirizzi;Vito Claudio Ostuni;Davide Romito

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

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Zanker

  • Recommender systems — beyond matrix completion

    Dietmar Jannach;Paul Resnick;Alexander Tuzhilin;Markus Zanker

  • A Taxonomy for Generating Explanations in Recommender Systems

    Gerhard Friedrich;Markus Zanker

  • Future research issues in IT and tourism

    Hannes Werthner;Aurkene Alzua-Sorzabal;Lorenzo Cantoni;Astrid Dickinger

  • Classification of Customer Reviews based on Sentiment Analysis

    Dietmar Gräbner;Markus Zanker;Günther Fliedl;Matthias Fuchs

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

    Liliana Ardissono;Alexander Felfernig;Gerhard Friedrich;Anna Goy

  • Measuring the impact of online personalisation: Past, present and future

    Markus Zanker;Laurens Rook;Dietmar Jannach

  • Context-based adaptation of mobile applications in tourism.

    Wolfram Höpken;Matthias Fuchs;Markus Zanker;Thomas Beer

  • Recommender Systems in Computer Science and Information Systems – A Landscape of Research

    Dietmar Jannach;Markus Zanker;Mouzhi Ge;Marian Gröning

  • Analyzing user reviews in tourism with topic models

    Marco Rossetti;Fabio Stella;Markus Zanker

  • Developing Constraint-based Recommenders

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Zanker

  • Leveraging multi-criteria customer feedback for satisfaction analysis and improved recommendations.

    Dietmar Jannach;Markus Zanker;Matthias Fuchs

  • Case-studies on exploiting explicit customer requirements in recommender systems

    Markus Zanker;Markus Jessenitschnig

  • A Short Survey of Recommendation Technologies in Travel and Tourism

    Alexander Felfernig;Sergiu Gordea;Dietmar Jannach;Erich Teppan

  • Contrasting Offline and Online Results when Evaluating Recommendation Algorithms

    Marco Rossetti;Fabio Stella;Markus Zanker

  • Configuration knowledge representations for Semantic Web applications

    Alexander Felfernig;Gerhard Friedrich;Dietmar Jannach;Markus Stumptner

  • Recommender Systems: Introduction

    Dietmar Jannach;Markus Zanker;Alexander Felfernig;Gerhard Friedrich

Frequent Co-Authors

Dietmar Jannach
Dietmar Jannach University of Klagenfurt
Alexander Felfernig
Alexander Felfernig Graz University of Technology
Gerhard Friedrich
Gerhard Friedrich University of Klagenfurt
Panagiotis Symeonidis
Panagiotis Symeonidis University of the Aegean
Li Chen
Li Chen Hong Kong Baptist University
Tsvi Kuflik
Tsvi Kuflik University of Haifa
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Krzysztof Czarnecki
Krzysztof Czarnecki University of Waterloo
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro

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