Publications
- e-Shop User Preferences via User Behavior2014 | Faculty of Mathematics and Physics
- Evaluating top-k algorithms with various sources of data and user preferences2011 | Faculty of Mathematics and Physics
- Considering data-mining techniques in user preference learning +12008 | Faculty of Mathematics and Physics
- Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term2022 | Faculty of Mathematics and Physics
- Smart extensions to regular cameras in the industrial environment2022 | Faculty of Mathematics and Physics
- Aggregation for Flexible Challenge Response2021 | Faculty of Mathematics and Physics
- Increasing business opportunities for drone services2021 | Faculty of Mathematics and Physics
- Deep Learning for Knowledge Extraction from UAV Images2021 | Faculty of Mathematics and Physics
- Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators2020 | Faculty of Mathematics and Physics
- Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce2020 | Faculty of Mathematics and Physics
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