Purpose

The online activity of users produces a huge volume of behavioural data, which can be processed to provide useful knowledge and applications that make digital spaces more convenient, safe and impactful. This involves a range of methods, mostly based on AI.

In the Web and User Data Processing group, we combat false information and online malicious behaviour. We strive to create an extensive infrastructure for collecting online content in large volumes. This content is then monitored by AI-based methods to detect signs of false information and online malicious behaviour. We also make use of information retrieval and recommendations, mostly for e-commerce applications. Our research delivers innovative methods that improve customer experience and business goals. These methods can also reveal connections in our partners’ data to improve their processes and offer personalized services to their customers.

RESEARCH AREAS OF INTEREST:

  • Misinformation analysis and characterization
  • Machine learning based detection and prediction methods
  • Interpretation and explanation of  machine learning models
  • User behaviour modelling and segmentation

Team

Jakub Šimko
Lead and Researcher
Maria Bielikova
Lead and Researcher
Michal Kompan
Lead and Researcher
Pavol Návrat
Researcher
Andrea Hrčková
Researcher
Róbert Móro
Researcher
Ivan Srba
Researcher
Martin Hyben
Researcher
Jakub Fedorko
Research Engineer
Santiago de Leon
Researcher
Ivan Agarský
PhD Student
Ján Čegiň
PhD Student
Matej Čief
PhD Student
Branislav Pecher
PhD Student
Rastislav Papšo
PhD Student
Timo Hromádka
Research Intern
Martin Melišek
Research Intern
Tomáš Remiš
Research Intern
Timotej Smoleň
Research Intern

Former members

Elena Štefancová
Research Assistant 10/2020 – 08/2021
Matúš Tomlein
Senior Researcher 10/2020 – 04/2022

Research & Innovation Projects

Selected publications

News