 | 2011 |
| 22 |  | Alan Eckhardt,
Peter Vojtás:
User Preference Learning in Real Systems - from Events to Processes.
EJC 2011: 305-312 |
| 21 |  | Alan Eckhardt,
Erik Hornicák,
Peter Vojtás:
Evaluating Top-k Algorithms with Various Sources of Data and User Preferences.
FQAS 2011: 258-269 |
| 20 |  | Tomás Bartos,
Alan Eckhardt,
Tomás Skopal:
Fuzzy approach to non-metric similarity indexing.
SISAP 2011: 115-116 |
| 19 |  | Ladislav Peska,
Alan Eckhardt,
Peter Vojtás:
UPComp - A PHP Component for Recommendation Based on User Behaviour.
Web Intelligence/IAT Workshops 2011: 306-309 |
| 2010 |
| 18 |  | Alan Eckhardt,
Peter Vojtás:
Learning User Preferences for 2CP-Regression for a Recommender System.
SOFSEM 2010: 346-357 |
| 17 |  | Branislav Vaclav,
Alan Eckhardt,
Peter Vojtás:
Pref Shop A Web Shop with User Preference Search Capabilities.
Web Intelligence/IAT Workshops 2010: 330-333 |
| 2009 |
| 16 |  | Alan Eckhardt:
Various aspects of user preference learning and recommender systems.
DATESO 2009: 56-67 |
| 15 |  | Alan Eckhardt,
Tomás Skopal,
Peter Vojtás:
On Fuzzy vs. Metric Similarity Search in Complex Databases.
FQAS 2009: 64-75 |
| 14 |  | Alan Eckhardt,
Peter Vojtás:
How to Learn Fuzzy User Preferences with Variable Objectives.
IFSA/EUSFLAT Conf. 2009: 938-943 |
| 13 |  | Alan Eckhardt:
PrefWork - A Framework for the User Preference Learning Methods Testing.
ITAT 2009: 7-13 |
| 12 |  | Alan Eckhardt,
Peter Vojtás:
Combining Various Methods of Automated User Decision and Preferences Modelling.
MDAI 2009: 172-181 |
| 11 |  | Peter Vojtás,
Alan Eckhardt:
Using Tuneable Fuzzy Similarity in Non-metric Search.
SISAP 2009: 163-164 |
| 10 |  | Alan Eckhardt,
Peter Vojtás:
Evaluating Natural User Preferences for Selective Retrieval.
Web Intelligence/IAT Workshops 2009: 104-107 |
| 2008 |
| 9 |  | Jan Dedek,
Alan Eckhardt,
Leo Galambos,
Peter Vojtás:
Discussion on Uncertainty Ontology for Annotation and Reasoning.
URSW 2008 |
| 8 |  | Alan Eckhardt,
Tomás Horváth,
Dusan Maruscák,
Robert Novotny,
Peter Vojtás:
Uncertainty Issues and Algorithms in Automating Process Connecting Web and User.
URSW (LNCS Vol.) 2008: 207-223 |
| 7 |  | Peter Vojtás,
Alan Eckhardt:
Considering Data-Mining Techniques in User Preference Learning.
Web Intelligence/IAT Workshops 2008: 33-36 |
| 2007 |
| 6 |  | Alan Eckhardt:
Inductive Models of User Preferences for Semantic Web.
DATESO 2007 |
| 5 |  | Alan Eckhardt,
Jaroslav Pokorný,
Peter Vojtás:
Integrating user and group preferences for top-k search from distributed web resources.
DEXA Workshops 2007: 317-322 |
| 4 |  | Alan Eckhardt,
Jaroslav Pokorný,
Peter Vojtás:
A System Recommending Top-k Objects for Multiple Users Preferences.
FUZZ-IEEE 2007: 1-6 |
| 3 |  | Alan Eckhardt,
Tomás Horváth,
Peter Vojtás:
Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying.
SUM 2007: 116-130 |
| 2 |  | Alan Eckhardt,
Tomás Horváth,
Dusan Maruscák,
Robert Novotny,
Peter Vojtás:
Uncertainty Issues in Automating Process Connecting Web and User.
URSW 2007 |
| 1 |  | Alan Eckhardt,
Tomás Horváth,
Peter Vojtás:
PHASES: A User Profile Learning Approach for Web Search.
Web Intelligence 2007: 780-783 |