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Bayesian personalized ranking
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Person
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Mgr. Ladislav Peška Ph.D.
Academic staff at Faculty of Mathematics and Physics
3 classes
103 publications
Classes
class
User preferences and advanced recommending methods
NDBI021 |
Faculty of Mathematics and Physics
class
Introduction to recommender systems and user preferences
NSWI166 |
Faculty of Mathematics and Physics
class
Principles of Computers for Bioinformatics
NSWI178 |
Faculty of Mathematics and Physics
Publications
publication
Hybrid recommendations by content-aligned Bayesian personalized ranking
2018 |
Faculty of Mathematics and Physics
publication
Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments
2017 |
Faculty of Mathematics and Physics
publication
Drug-target interaction prediction: A Bayesian ranking approach
2017 |
Faculty of Mathematics and Physics
publication
Visualizations for universal deep-feature representations: survey and taxonomy
2024 |
Faculty of Mathematics and Physics
publication
Less Is More: Similarity Models for Content-Based Video Retrieval
2023 |
Faculty of Mathematics and Physics
publication
SpotifyExplained: User-centric Mobile Application for Music Exploration
2023 |
Faculty of Mathematics and Physics
publication
The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems
2023 |
Faculty of Mathematics and Physics
publication
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems
2023 |
Faculty of Mathematics and Physics
publication
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
2023 |
Faculty of Mathematics and Physics
publication
EasyStudy: Framework for Easy Deployment of User Studies on Recommender Systems
2023 |
Faculty of Mathematics and Physics
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