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Implicit User Feedback
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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
Multimodal Implicit Feedback for Recommender Systems
2017 |
Faculty of Mathematics and Physics
publication
How to Interpret Implicit User Feedback?
2015 |
Faculty of Mathematics and Physics
publication
How Far Ahead Can Recommender Systems Predict?
2013 |
Faculty of Mathematics and Physics
publication
Estimating importance of implicit factors in E-commerce recommender systems
2013 |
Faculty of Mathematics and Physics
publication
User Feedback and Preferences Mining
2012 |
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
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