Tomáš Řehořek

Personal info

• Ing. Tomáš Řehořek
• E-mail: tomas[dot]rehorek(at)fit[dot]cvut[dot]cz
• LinkedIn profile
• Professional interests:
  • Data Mining, Recommender systems
  • Evolutionary Computation, Artificial Neural Networks
  • Python, JavaScript, Java, Parallel Systems
• Member of Computational Intelligence Group (CIG) at FIT CTU in Prague
• Supervisor: Ing. Pavel Kordík, Ph.D.

Teaching

• BI-ZMA: Elements of Calculus, Winter 2011
• BI-TED: Electronic Documentation Design, Summer 2012
• BI-EFA: Efficient Algorithms, Winter 2012
• MI-MVI: Computational Intelligence Methods, Winter 2012
• BI-ZUM: Artificial Intelligence Fundamentals (lectures and seminars)
  • Summer 2013,
  • Summer 2014,
  • Summer 2015,
  • Summer 2016

Projects

• Recombee Recommendation Engine
• Recommendation engine for nangu.TV platform
• JSGL: JavaScript Graphics Library

Publications

• Rehorek, T., Kordik, P.: A Soft Computing Approach to Knowledge Flow Synthesis and Optimization. In Soft Computing Models in Industrial and Environmental Applications, Vol. 188, Springer Berlin Heidelberg, ISBN 978-3-642-32922-7.
• Rehorek, T., Kordik, P.: Using Interactive Evolution for Exploratory Data Analysis (PDF). In Proceedings of the 6th International Scientific and Technical Conference (CSIT'2011), Lviv, UA, LPNU, 2011, pp. 131--135, ISBN 978-966-2191-04-2.

Presentations

• 2014: KEG: Recommender Systems (PDF)
• 2013: Doctoral Study Report: Multiobjective Optimization in Recommender Systems using Ensemble Methods (PDF),
• 2012: Soco'2012: A Soft-Computing Approach to Knowledge Flow Synthesis and Optimization (PDF),
• 2011: CIG: Interactive Evolution in Automated Knowledge Discovery (PPT),
• 2011: CSIT'11: Using Interactive Evolution for Exploratory Data Analysis (PPT)
• 2011: [Czech] PI-NSV: Pokročilé metody učení neuronových sítí (PDF, PPT)

Theses Supervised

2016

• Filip Křesťan: Evaluation of Distributed Database Systems in Context of Personalized Recommendation (Bachelor's Thesis)
• Michal Režnický: Design and Implementation of Feature Selection Module in Recommender System (Bachelor's Thesis)
• Tomáš Richtr: Evaluation of Matrix Factorization Algorithms in Collaborative Filtering (Master's Thesis)

2014

• Martin Barus: Content Recommendation using Text Mining Methods (Bachelor's Thesis)
• Tomáš Fedor: Recommender System for Online Gaming Discount Portal (Bachelor's Thesis)
• Tomáš Frýda: Comparison of Different Neuroevolution Algorithms on Several Problem Domains (Bachelor's Thesis)
• Martin Hak: Comparison of Various Success Measures in Collaborative Filtering (Bachelor's Thesis)
• Tomáš Richtr: Advanced Gradient Optimization Methods of Artificial Neural Networks in RapidMiner 5 (Bachelor's Thesis)
• David Šenkýř: Interactive Geometric Sketchpad for Web Client (Bachelor's Thesis)

2013

• Michal Kvasnička: Vector Graphics Editor for Web Client (Bachelor's Thesis)
• Jakub Melezínek: Web Environment for Algorithms on Binary Trees (Bachelor's Thesis, link)
• Jakub Pištěk: Analysis of Collaborative Filtering Algorithms on Multimedial Data (Master's Thesis)
• Vít Steklý: Tool for Analysis of Artificial Neural Networks (Bachelor's Thesis)
• David Šolc: Web Framework for Stepping and Visualization of Algorithms (Bachelor's Thesis)
• Radmir Usmanov: Client-Server Application for Two Player Games using WebSocket (Bachelors's Thesis)