Publikace
- Recommending for Disloyal Customers with Low Consumption Rate2014 | Matematicko-fyzikální fakulta
- Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning2014 | Matematicko-fyzikální fakulta
- Estimating importance of implicit factors in E-commerce recommender systems2013 | Matematicko-fyzikální fakulta
- Negative implicit feedback in e-commerce recommender systems2013 | Matematicko-fyzikální fakulta
- Hierarchical Portfolios in Recommender Ecosystems: Multi-level aggregations of heterogeneous ensembles integrating long-term and short-term2022 | Matematicko-fyzikální fakulta
- Smart extensions to regular cameras in the industrial environment2022 | Matematicko-fyzikální fakulta
- Aggregation for Flexible Challenge Response2021 | Matematicko-fyzikální fakulta
- Increasing business opportunities for drone services2021 | Matematicko-fyzikální fakulta
- Deep Learning for Knowledge Extraction from UAV Images2021 | Matematicko-fyzikální fakulta
- Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators2020 | Matematicko-fyzikální fakulta
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