Ladislav Peška

Assistant professor at KSI MFF UK

Curriculum Vitae

Teaching (current)

• NSWI166 - Introduction to Recommender Systems and User Preferences
• NDBI021 - User Preferences and Advanced Recommending Methods
• NSWI178 - Principles of Computers for Bioinformatics
  
  
• Topics for Bachelor theses, Master theses, and SW projects (in Czech)

Teaching (past)

• NSWI167 - Advanced Methods for Recommender Systems (2017-22)
• NSWI142 - Programming of Web Applications (2017-21, labs)
• NPRG067 - Python for practice (2019-21, joint effort with P. Hnětýnka and T. Bureš)
• NSWI155 - Seminar on semantization and preferences 1+2 (2018-22, joint effort with P. Vojtáš)

Research

• Recommender Systems
• Multi-objective RS (see, e.g., RecSys 2023, SIGIR 2022)
• Group RS (see, e.g., UMAP 2022)
• Biases in RS evaluation (see, e.g., SIGIR 2023)
• Proportionality and fairness in RS (see, e.g., UMUAI 2022)
• User interaction models, user preference learning (see, e.g., UMAP 2023, JoDS 2017)
• Multimedia Retrieval (see, e.g., MTAP 2023, VBS 2021 report)
  
  
• DBLP, Google Scholar

Contacts

• ladislav.peska@matfyz.cuni.cz
• Malostranské nám. 25, room S208
• For consultations, please enquire via e-mail