Classes
Publications
- Using Linked Open Data in Recommender Systems2015 | Faculty of Mathematics and Physics
- How to Interpret Implicit User Feedback?2015 | Faculty of Mathematics and Physics
- Using Implicit Preference Relations to Improve Content Based Recommending2015 | Faculty of Mathematics and Physics
- Interpreting Web Shop User's Behavioral Patterns as Fictitious Explicit Rating for Preference Learning2014 | Faculty of Mathematics and Physics
- Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations2014 | Faculty of Mathematics and Physics
- Evaluating various implicit factors in e-commerce2013 | Faculty of Mathematics and Physics
- Estimating importance of implicit factors in E-commerce recommender systems2013 | Faculty of Mathematics and Physics
- Negative implicit feedback in e-commerce recommender systems2013 | Faculty of Mathematics and Physics
- Visualizations for universal deep-feature representations: survey and taxonomy2024 | Faculty of Mathematics and Physics
- Less Is More: Similarity Models for Content-Based Video Retrieval2023 | Faculty of Mathematics and Physics
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