- A system recommending top-k objects for multiple users preferences2007 | Faculty of Mathematics and Physics
- UPRE: User preference based search system +22006 | Faculty of Mathematics and Physics
- Evaluating top-k algorithms with various sources of data and user preferences2011 | Faculty of Mathematics and Physics
- Learning User Preferences for 2CP-Regression for a Recommender System2010 | Faculty of Mathematics and Physics
- PrefShop - a web shop with user preference search capabilities2010 | Faculty of Mathematics and Physics
- Learning user preferences for top-k querying - improving learning of the higher ranked objects2010 | Faculty of Mathematics and Physics
- e-Shop User Preferences via User Behavior2014 | Faculty of Mathematics and Physics
- Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations2014 | Faculty of Mathematics and Physics
- Efficient Top-k Searching According to User Preferences Based on Fuzzy Functions with Usage of Tree-Oriented Data Structures2011 | Faculty of Mathematics and Physics
- Basis Functions as Pivots in Space of Users Preferences2016 | Faculty of Mathematics and Physics
- Combination of TA- and MD-algorithm for Efficient Solving of Top-K Problem according to User's Preferences2009 | Faculty of Mathematics and Physics
- Proposal of an agent driven by user preferences2008 | Faculty of Mathematics and Physics
- Querying of web resources with user preferences2007 | Faculty of Mathematics and Physics
- Monotonization of User Preferences2015 | Faculty of Mathematics and Physics
- Inductive Models of User Preferences for Semantic Web +12007 | Faculty of Mathematics and Physics
- Incorporating User Preferences in MOEA/D through the Coevolution of Weights2015 | Faculty of Mathematics and Physics
- Various aspects of user preference learning and recommender systems2009 | Faculty of Mathematics and Physics
- EL description logic with aggregation of user preference concepts2007 | Faculty of Mathematics and Physics
- IPIget: The Component for Collecting Implicit User Preference Indicators2014 | Faculty of Mathematics and Physics
- How to learn fuzzy user preferences with variable objectives2009 | Faculty of Mathematics and Physics
- Considering data-mining techniques in user preference learning +12008 | Faculty of Mathematics and Physics
- PrefWork - a framework for the user preference learning methods testing2009 | Faculty of Mathematics and Physics
- SpotifyGraph: Visualisation of User's Preferences in Music2021 | Faculty of Mathematics and Physics, Central Library of Charles University
- Induction of User Preferences in Semantic Web2007 | Faculty of Mathematics and Physics
- EL description logic modeling querying web and learning imperfect user preferences2006 | Faculty of Mathematics and Physics
- User preference web search - experiments with a system connecting web and user2009 | Faculty of Mathematics and Physics